Role directory

Research jobs

143 active, referral-verified opportunities.

Finance / Remote

Investor Relations Expert

About the work We're building a high-quality library of public-company investor relations work products. You'll complete self-contained IR exercises from mock files (results packs, shareholder registers, analyst models) and produce the deliverable for each, graded against a rubric. — What you'll do • Draft earnings releases, prepared remarks and Q&A briefings for a quarterly results call. • Produce guidance-setting and revision recommendations with scenario support. • Build investor day and IR presentation materials, equity story and positioning decks, AGM materials, and deal announcement packages. • Analyze the shareholder register and ownership base, assess activist vulnerability, and draft dividend and capital return recommendations. — You're a fit if you have • 4+ years in an in-house investor relations role at a public company. • Direct ownership of an earnings cycle: release, script, Q&A, analyst engagement. — Nice to have • IRC charter (NIRI); sell-side equity research before moving in-house; investor relations agency experience. — Assessment An earnings release and prepared remarks from a mock results pack; a guidance revision recommendation; an activist vulnerability assessment. — Note: this is public-company investor relations. Investor relations at a private equity or venture fund is LP fundraising and is a different role.

$2,000 / per-taskOpen / Referral verified
Code / Remote

CUDA Engineering Expert

1. Role Overview — Mercor is seeking GPU kernel optimization experts to contribute to a project with a leading AI lab. This opportunity is designed for freelancers with strong C++ skills, practical GPU programming experience, and the ability to improve kernel performance using profiler-guided analysis. You’ll help evaluate, optimize, and reason about GPU kernels across modern hardware environments. This is a contract-based opportunity for specialists who enjoy squeezing performance out of modern GPU architectures. — 2. Key Responsibilities • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization • Use profiler metrics such as L2 cache hit rate, L2 throughput, occupancy, and related signals to guide kernel improvements • Review GPU kernel implementations and identify bottlenecks without requiring extensive background in the underlying algorithms • Write, modify, and reason about C++17, Python, and GPU programming code • Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance outcomes • Document optimization decisions clearly, including when specific profiler metrics are or are not useful — 3. Ideal Qualifications • Available to work at least 20 hrs/wk • Fluent in core C++ features through C++17 • Working knowledge of Python and Git • Fluent in at least one GPU programming model, such as CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming • At least 1 year of professional or graduate-level research experience working with GPUs • Strong understanding of GPU profiler performance metrics and how to use them to optimize kernels • Ability to optimize GPU kernels without needing deep prior context on every algorithm • Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization is a plus • Experience optimizing kernels for NVIDIA Blackwell hardware is a plus • Familiarity with NSight Compute is a plus • Prior experience with GPU hardware organizations such as NVIDIA, AMD, or Qualcomm is a plus • Open-source contributions related to GPU kernel optimization are a plus — 4. Application Process • Submit your resume or relevant technical background to get started • Qualified applicants may be asked to complete a brief technical assessment or submit additional information

$500 / per-taskOpen / Referral verified
Medical / Remote — US-based or deep US-market experience

Disease-Area Clinician — Trial Endpoints & Prescribing

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a disease-area clinician for a paid pilot, with the potential to continue as the work scales. — Responsibilities • Create and critique rubrics that analyze commercial drugs and drug-development programs • Interpret clinical trial endpoints and judge whether results would change prescribing • Assess what that means for real-world uptake in your therapeutic area • Apply this across the pilot's set of drugs and programs — Requirements • US-based disease-area clinician (practising physician, MD/DO) • Familiarity with biotech/pharma development programs • Deep expertise in a specific therapeutic area • Board-certified and actively practising in your specialty — Engagement Details • Duration: Approximately 10–20 hours over a 1–2 week pilot • Remote — US-based — Why Participate • Help improve expert AI evaluation of drugs and drug-development programs • Recurring engagement for strong contributors

$150 - $230 / hourOpen / Referral verified
STEM / Remote

Senior Design Expert - Paid AI Design Research Study

Mercor is partnering with a major technology company building AI design tooling on a paid research study with senior designers. — The client wants to capture how expert designers think: how you approach a problem, what separates strong craft from weak, and how you decide when something is ready to ship. This is captured in structured, recorded remote sessions. Depending on fit, you'd either be the expert being interviewed or the one running the interview. — What to expect • Roughly 4–5 hours per task/interview, including prep beforehand and a short review afterward • $250/hour — Scope is still being finalized with the client, so structure, timing, volume, and rate may change. — What we're looking for • Senior-level design experience (product, UX, brand, or adjacent craft disciplines) • A clear point of view on design quality, critique, and shipping standards • A portfolio you can share — a website link is ideal — Portfolios are used solely to assess fit for this study and will not be used for model training of any kind. Please only submit work you're free to share publicly — no confidential, unreleased, or NDA-covered material.

$150 - $250 / hourOpen / Referral verified
Finance / Remote

Investment Banking Expert

1. Role Overview — Mercor is partnering with a leading AI research organization to engage experienced investment banking professionals for a project focused on evaluating how well AI systems perform real-world banking work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. — 2. Key Responsibilities • Design precise, task-specific grading criteria for real-world banking deliverables (financial models, valuation analyses, pitch decks and CIMs, deal memos, board and committee materials) • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score • Apply consistent, evidence-based judgment so that scores are reproducible and defensible • Incorporate structured feedback from senior reviewers and iterate quickly on your work — 3. Ideal Qualifications • 2+ years of professional investment banking experience (associate level or above) • Background at leading global investment banks or elite advisory boutiques, across M&A, coverage, or capital markets • Deep fluency in the day-to-day craft: three-statement and transaction modeling (DCF, LBO, comparables, merger math), valuation judgment, deal-process materials, and the formatting and accuracy standards of bank-quality work product • Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers • Prior experience with AI training, evaluation, or human-data projects is a strong plus — 4. Application Process • Submit your resume or relevant professional background to get started • Qualified applicants may be asked to complete a brief assessment or submit additional information

$150 - $220 / hourOpen / Referral verified
Medical / Remote — US-based or deep US-market experience

Pharma Commercial Forecasting Expert — Launch Curves

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a pharma commercial / forecasting expert for a paid pilot, with the potential to continue as the work scales. — Responsibilities • Create and critique rubrics that analyze commercial drugs and drug-development programs • Build or critique a launch curve (uptake, peak share, trajectory) • Judge whether a commercial forecast's assumptions (analogs, ramp, peak, loss of exclusivity) are defensible • Apply this across the pilot's set of drug launches — Requirements • US-based pharma commercial / forecasting professional (people from pharma sales teams can work here too) • Familiarity with biotech/pharma development programs • Experience building or critiquing drug launch / uptake models • 5+ years in pharma commercial forecasting, analytics, or strategy — Engagement Details • Duration: Approximately 10–20 hours over a 1–2 week pilot • Remote — US-based — Why Participate • Help improve expert AI evaluation of drugs and drug-development programs • Recurring engagement for strong contributors

$130 - $210 / hourOpen / Referral verified
Medical / Remote — US-based or deep US-market experience

Payer & Market Access Expert — Gross-to-Net & Formulary Strategy

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a payer / market access expert for a paid pilot, with the potential to continue as the work scales. — Responsibilities • Create and critique rubrics that analyze commercial drugs and drug-development programs • Set and pressure-test gross-to-net and formulary-tier assumptions by drug class • Judge whether coverage, rebating, and tiering assumptions reflect how payers actually behave • Apply this across the pilot's set of drugs and drug classes — Requirements • US-based payer / market access professional • Familiarity with biotech/pharma development programs • Hands-on with gross-to-net, rebates, and formulary tiering by drug class • 5+ years in market access, pricing & reimbursement, or managed markets — Engagement Details • Duration: Approximately 10–20 hours over a 1–2 week pilot • Remote — US-based — Why Participate • Help improve expert AI evaluation of drugs and drug-development programs • Recurring engagement for strong contributors

$175 - $200 / hourOpen / Referral verified
Finance / Remote — US-based or deep US-market experience

Biotech Investment Analyst — Drug Asset & Company Assessment

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a biotech investment analyst (specialist-fund background) for a paid pilot, with the potential to continue as the work scales. — Responsibilities • Create and critique rubrics that analyze commercial drugs and drug-development programs • Provide overall company and asset assessment — mechanism, clinical data, competitive position, and value drivers • Judge the quality of an investment-style thesis and flag weak, overconfident, or missing assumptions • Apply your assessment across the pilot's set of companies (~5–10) — Requirements • US-based biotech / healthcare investment analyst with a specialist-fund background • Familiarity with biotech/pharma development programs • Able to assess a drug asset and the company behind it end-to-end • 5+ years evaluating biotech/pharma companies or assets — Engagement Details • Duration: Approximately 10–20 hours over a 1–2 week pilot • Remote — US-based — Why Participate • Help improve expert AI evaluation of drugs and drug-development programs • Recurring engagement for strong contributors

$120 - $200 / hourOpen / Referral verified
Code / Remote

MCP & Plug In Connectors Expert

About the Opportunity — A leading AI research organization is seeking advanced LLM power users with strong experience using MCP and (more importantly) plugins/connectors for real-world personal life tasks. — This project focuses on evaluating how well AI systems handle personalized, multi-step life tasks that require context, judgment, planning, and use of connected tools such as Google Drive, Expedia, Notion, and other plugins/connectors. — This role is ideal for people who use AI heavily in their personal lives and can do a better job replicating what AI could do if it weren’t available — What You’ll Do — You will help evaluate AI systems on complex personal workflows, including tasks across: • Personal health • Travel • Activity planning, including food and dining • Services, such as home repair • Career search • Other life organization workflows — Responsibilities may include: • Creating realistic prompts for complex personal-life tasks • Executing tasks and actions while recording your screen (required) • Using your personal plugins/connectors while you complete actions • Writing clear explanations of AI successes and failures • Judging whether AI outputs are practical, personalized, and well-reasoned • Identifying where models miss context, overreach, fail to use tools correctly, or produce unrealistic results • Creating and applying detailed rubrics to assess model performance — Who We’re Looking For — Strong candidates will have: • US-based only • Strong MCP experience and plug in / connector usage • Experience using LLM plugins/connectors such as Google Drive, Expedia, Notion, and similar tools, multiple times a week • Heavy personal usage of LLM products • An active, rich LLM account with regular usage and approximately 6+ months of history • Willingness to sign a data-share consent form via DocuSign • Experience using AI for multi-step planning, research, decision-making, or personal workflows • Strong written judgment and attention to detail • Ability to explain what makes an AI output good, bad, incomplete, unsafe, or unrealistic • Experience writing and evaluating against rubrics — Extensive rubric experience is especially valuable, including 100+ hours on prior rubric projects involving rubric design, evaluation, and quality assessment. — Ideal Candidate Profile — The strongest candidates are LLM power users who are already using plug-in tools in their personal lives for high-context tasks such as trip planning, health research, home services, food and dining decisions, career planning, personal organization, or similar workflows. — Candidates who want to be more competitive for this and future opportunities are encouraged to proactively spend time learning MCP and using LLM plugins/connectors before applying. — Why This Work Matters — LLMs are quickly becoming personal assistants for everyday decisions, but truly useful AI needs to do more than produce generic advice. It needs to understand context, preferences, constraints, tradeoffs, and what success looks like in real life. — Your evaluations will help improve how AI systems support people with practical, high-context tasks across food, health, travel, productivity, careers, and life organization. This work directly contributes to making AI assistants more personalized, trustworthy, and useful for real-world personal workflows. — Engagement Details • Expected commitment: 20+ hours/week • Ramp-up: 1–2 days required • Turnaround expectation: Ability to complete tasks within 24 hours • Equipment: Desktop or laptop required; Chromebooks are not supported • Experts added to the project will begin in a trial period to assess project fit, quality, and consistency before being considered for ongoing tasking. • Please note: This project is still in its early stages, so there may be an initial delay before tasking begins.

$50 - $190 / hourOpen / Referral verified
STEM / Remote

Professional Design Experts

Overview — Mercor is seeking Professional Design Experts to work on a research project for one of the world’s top AI companies. This project involves leveraging your professional experience to make decisions about product design and taste preferences. — Note: Candidates must have native or near-native proficiency in English — Ideal Applicants Will Have • Worked in roles that require good taste in visual presentation • Designed graphics, documents, or other files for professional purposes • Experience with design tools such as Figma, Sketch, or Adobe Creative Suite — Role Specifics • Must be able to commit a minimum of 15 hours per week • Should be proficient in Slides, Sheets, Docs, and PDFs — Eligibility • Based in the United States, United Kingdom, or Canada • * * — Equal Opportunity — We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. • * *

$80 - $180 / hourOpen / Referral verified
Medical / Remote — US-based or deep US-market experience

Epidemiologist — Patient Population Sizing

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking an epidemiologist for a paid pilot, with the potential to continue as the work scales. — Responsibilities • Create and critique rubrics that analyze commercial drugs and drug-development programs • Size the patient population for a given drug or indication (prevalence, incidence, diagnosed → treated → addressable) • Judge whether a patient-population estimate is sound and well-sourced, and flag over- or under-counting • Apply this across the pilot's set of drugs and indications — Requirements • US-based epidemiologist • Familiarity with biotech/pharma development programs • Experience turning real-world data (claims, EHR, registries) into patient funnels • 5+ years practising epidemiology (graduate degree in epidemiology, biostatistics, or public health) — Engagement Details • Duration: Approximately 10–20 hours over a 1–2 week pilot • Remote — US-based — Why Participate • Help improve expert AI evaluation of drugs and drug-development programs • Recurring engagement for strong contributors

$150 - $175 / hourOpen / Referral verified
STEM / Remote

Pro Bono Counsel (Access to Justice Expert)

Mercor is seeking experienced Pro Bono Counsel to evaluate AI-generated legal analyses involving civil legal services and access-to-justice issues. Experts will leverage their broad civil practice experience to assess legal reasoning and provide structured feedback to improve AI quality. • * * — Responsibilities • Review AI-generated legal analyses. • Evaluate housing, family, consumer, foreclosure, and debt scenarios. • Assess legal reasoning and procedural guidance. • Identify legal inaccuracies and access-to-justice considerations. • Deliver structured written evaluations. • * * — Required Qualifications • Juris Doctor (JD). • Active U.S. bar admission. • Experience managing or participating in pro bono legal initiatives. • Strong background in civil legal practice. • Excellent legal writing and analytical skills. • * * — Preferred Qualifications • Experience as Pro Bono Counsel or Pro Bono Partner. • Experience coordinating legal clinics or volunteer attorneys. • Expertise across multiple civil legal practice areas. • Experience with legal technology or AI. • * * — Why Join Mercor? • Help improve AI systems supporting legal reasoning and access to justice. • Apply broad civil legal expertise to impactful AI research. • Collaborate with leading AI organisations. • Competitive hourly compensation.

$170 / hourOpen / Referral verified
Math / Remote

Data Science Expert

1. Role Overview — Mercor is partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data science work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. — 2. Key Responsibilities • Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations) • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score • Apply consistent, evidence-based judgment so that scores are reproducible and defensible • Incorporate structured feedback from senior reviewers and iterate quickly on your work — 3. Ideal Qualifications • 5+ years of professional data science experience in industry • Background in business operations, product, or growth data science at top-tier technology companies • Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders • Exceptionally strong written communication • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers • Prior experience with AI training, evaluation, or human-data projects is a strong plus — 4. Application Process • Submit your resume or relevant technical background to get started • Qualified applicants may be asked to complete a brief technical assessment or submit additional information

$120 - $170 / hourOpen / Referral verified
Finance / Remote

Revenue-cycle Executive (VP/Sr. Director Revenue Cycle, or RCM-focused Finance Leader)

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Revenue Cycle Executives — including VP of Revenue Cycle, Sr. Director of Revenue Cycle, and RCM-focused finance leaders — to evaluate AI tools designed to transform end-to-end revenue cycle performance. Your strategic expertise in revenue cycle operations, payer contracting, financial performance management, and team leadership will directly shape AI systems that drive sustainable financial improvement across healthcare organizations. — Responsibilities • Provide executive-level oversight and strategic direction for end-to-end revenue cycle operations, including patient access, coding, billing, denials, and collections. • Evaluate AI-generated revenue cycle performance analyses, strategic recommendations, and operational improvement plans for accuracy and feasibility. • Assess AI tools designed to automate revenue cycle workflows, identify revenue leakage, and optimise payer reimbursement. • Define and monitor enterprise revenue cycle KPIs, including net collection rate, days in A/R, denial rate, cost-to-collect, and cash collections performance. • Develop and implement revenue cycle improvement strategies aligned with organisational financial goals. • Oversee managed care contracting strategy and payer relationship management. • Collaborate with clinical, finance, compliance, and IT leadership to align revenue cycle initiatives with organisational priorities. • Present revenue cycle performance to executive leadership, boards, and investors. • Annotate AI outputs and provide structured strategic feedback to support AI training datasets. — Requirements • 10+ years of progressive revenue cycle leadership experience, with at least 5 years in a VP, Sr. Director, or equivalent executive role. • Comprehensive knowledge of end-to-end revenue cycle operations, including front-end, mid-cycle, and back-end functions. • Strong financial acumen with experience managing P&L, budget oversight, and financial performance reporting. • Track record of leading large-scale revenue cycle transformation initiatives in health system, hospital, or physician group settings. • Deep familiarity with managed care contracting, payer relations, and reimbursement optimisation. • Exceptional written and verbal English communication skills, including executive-level presentation skills. • Comfortable working independently in a fully remote environment. • Ability to synthesise complex revenue cycle performance data and AI-generated outputs into strategic recommendations. — Preferred Qualifications • HFMA Fellow (FHFMA), CHFP, or CRCR certification. • Experience with RCM technology platforms and large-scale EHR implementations. • Background in PE-backed healthcare organizations, health systems, or large physician enterprise environments. • Familiarity with AI tools and comfort evaluating AI-generated revenue cycle strategy content. • Experience leading multi-site or multi-entity revenue cycle consolidation or integration initiatives. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Flexible, remote-first work environment. • Competitive compensation at $162/hr. • Gain exposure to cutting-edge AI workflows across the full revenue cycle enterprise. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$162 / hourOpen / Referral verified
Finance / Remote

Accounting Expert

1. Role Overview — Mercor is partnering with a leading AI research organization to engage experienced accountants for a project focused on evaluating how well AI systems perform real-world accounting work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. — 2. Key Responsibilities • Design precise, task-specific grading criteria for real-world accounting deliverables (reconciliations, close packages, financial statements and disclosures, workpapers, technical accounting memos) • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score • Apply consistent, evidence-based judgment so that scores are reproducible and defensible • Incorporate structured feedback from senior reviewers and iterate quickly on your work — 3. Ideal Qualifications • 5+ years of professional accounting experience • Background in audit, assurance, or advisory at leading global accounting firms, or in senior accounting roles at large public companies • CPA or equivalent professional certification strongly preferred • Deep fluency in the day-to-day craft: US GAAP application, month-end close, account reconciliations, financial statement preparation and disclosures, and audit-ready workpapers • Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet professional standards • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers • Prior experience with AI training, evaluation, or human-data projects is a strong plus — 4. Application Process • Submit your resume or relevant professional background to get started • Qualified applicants may be asked to complete a brief technical assessment or submit additional information

$130 - $160 / hourOpen / Referral verified
Business / Remote

Agency Brand Design Expert

1. Role Overview — Mercor is partnering with a leading AI research organization to engage experienced brand designers for a project focused on evaluating how well AI systems perform real-world brand and design work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. — 2. Key Responsibilities • Design precise, task-specific grading criteria for real-world brand design deliverables (brand identity systems and guidelines, logos and visual identity, campaign and marketing visuals, packaging concepts, presentation and layout design, digital and social assets, and brand messaging and positioning) • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score • Apply consistent, evidence-based judgment so that scores are reproducible and defensible • Incorporate structured feedback from senior reviewers and iterate quickly on your work — 3. Ideal Qualifications • 5+ years of professional experience in brand, visual, or graphic design • Background specifically at world-class independent brand and design agencies (e.g., Pentagram, Wolff Olins, Landor, Collins, IDEO) — agency experience, not in-house or enterprise design teams • Experience in one of the core brand disciplines: Creative Director, Brand Designer (logo, visual identity, supporting graphics), Web Designer (UI/UX, web architecture), or Graphic Designer • Deep fluency in the day-to-day craft: typography, layout and visual hierarchy, color, composition, logo and brand identity systems, and articulating critique the way a creative director would in a review • Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers • Experience with copywriting and brand messaging — including audience research, competitor research, and positioning — is a strong plus • Prior experience with AI training, evaluation, or human-data projects is a strong plus — 4. Application Process • Submit your resume, portfolio, background to get started • Qualified applicants may be assessment or submit additional information

$80 - $150 / hourOpen / Referral verified
Code / Remote

Sales Engineering Expert

1. Role Overview — Mercor is partnering with a leading AI research organization to engage experienced sales engineers for a project focused on evaluating how well AI systems perform real-world technical sales work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. — 2. Key Responsibilities • Design precise, task-specific grading criteria for real-world pre-sales and solutions-engineering deliverables (technical discovery plans, tailored product demonstrations, proof-of-concept and technical evaluation plans, security questionnaires and RFP responses, integration/API/architecture explanations, and product-fit and technical-risk assessments) • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score • Apply consistent, evidence-based judgment so scores are reproducible and defensible • Incorporate structured feedback from senior reviewers and iterate quickly on your work — 3. Ideal Qualifications • 4+ years of relevant experience as a Sales Engineer, Solutions Engineer, Solutions Consultant, Pre-Sales Consultant, or Technical Sales Consultant • Deep fluency in the pre-sales craft: leading technical discovery, translating customer requirements into product solutions, delivering tailored demos, handling technical objections, supporting proofs of concept, and evaluating product fit and technical risk • Hands-on experience with technically complex B2B software — SaaS, cloud infrastructure, cybersecurity, data platforms, developer tools, or enterprise applications • Exceptionally strong written communication, with the ability to explain exactly why a piece of technical work would or would not land with both technical and business stakeholders • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers • Prior experience with AI training, evaluation, or human-data projects is a strong plus — 4. Application Process • Submit your resume or relevant professional background to get started • Qualified applicants may be asked to complete a brief assessment or submit additional information

$100 - $150 / hourOpen / Referral verified
Code / Remote

UI / UX Design Expert

1. Role Overview — Mercor is partnering with a leading AI research organization to engage experienced UI/UX and product designers for a project focused on evaluating how well AI systems perform real-world digital product design work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. — 2. Key Responsibilities • Design precise, task-specific grading criteria for real-world digital product and UX deliverables (design systems and component libraries, responsive UI layouts and dashboards, end-to-end product flows such as onboarding, checkout, and booking, logged-in customer portals, UX writing and product content, and design-to-engineering/production handoff) • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score • Apply consistent, evidence-based judgment so that scores are reproducible and defensible • Incorporate structured feedback from senior reviewers and iterate quickly on your work — 3. Ideal Qualifications • 5+ years of professional experience in product design, UI/UX, or design systems for real digital products (not brand or marketing sites) • Background at leading digital-product and UX studios, in-house product-design teams at major product-led companies, or e-commerce and marketplace companies with sophisticated customer portals and dashboards • Experience across one or more relevant tracks: Product / UI / Design Systems Designer, UX Lead, UX Writer / Content Designer, or digital Product / Business Analyst • Deep fluency in the day-to-day craft: interaction and visual design, design systems, responsive layouts, end-to-end product flows, prototyping and production handoff in Figma, and articulating critique the way a design or UX lead would in a review • Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar for a real product and its users • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers • Prior experience with AI training, evaluation, or human-data projects is a strong plus — 4. Application Process • Submit your resume, portfolio, or relevant professional background to get started • Qualified applicants may be asked to complete a brief assessment or submit additional information

$80 - $150 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Swiss German)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Switzerland-based native Swiss German speakers to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native Swiss German speaker currently based in Switzerland • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $150 / hourOpen / Referral verified
Code / Remote

Data Scientist Talent Network

Mercor is building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work. — There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available. — 2. Potential Responsibilities — Future projects may involve: • Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks • Evaluating AI-generated or human-created work against established criteria • Providing detailed written justifications for evaluations and scores • Applying consistent, evidence-based judgment so that assessments are reproducible and defensible • Incorporating structured feedback from senior reviewers and iterating on submitted work — Specific responsibilities will vary depending on the project. — 3. Ideal Qualifications • 1+ years of professional data science experience • Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent) • Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses • Exceptional written communication skills, including the ability to convey technical findings clearly • A detail-oriented and consistent approach to evaluating complex work • Comfort receiving feedback and calibrating judgment against established standards

$100 - $150 / hourOpen / Referral verified
Business / Remote

Management Consultant Talent Network

Mercor is building a network of experienced management consultants for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world consulting work. — There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available. — 2. Potential Responsibilities — Future projects may involve: • Designing precise, task-specific grading criteria for consulting deliverables, including market analyses, strategy recommendations, financial models, client-ready presentations, and implementation roadmaps • Evaluating AI-generated or human-created work against established criteria • Providing detailed written justifications for evaluations and scores • Applying consistent, evidence-based judgment so that assessments are reproducible and defensible • Incorporating structured feedback from senior reviewers and iterating on submitted work — Specific responsibilities will vary depending on the project. — 3. Ideal Qualifications • 1+ years of professional management consulting experience • Experience at a leading strategy or management consulting firm (such as McKinsey, Bain, BCG, or equivalent) • Strong command of structured problem-solving, market sizing, financial modeling, business-case development, and executive-level presentation development • Exceptional written communication skills • A detail-oriented and consistent approach to evaluating complex work • Comfort receiving feedback and calibrating judgment against established standards

$100 - $150 / hourOpen / Referral verified
Finance / Bay Area, CA

Investment Banking & M&A - Finance Domain Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — We are hiring a senior finance domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real financial work. — Your finance expertise is the substance of this role. You will review the quality of finance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. — Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. — 2. Key Responsibilities • Data QA and reviews: Vet the quality of finance knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, flawed assumptions, and answers that read well but would not survive professional scrutiny. • Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to financial problems, and define new finance tasks that reflect how the work is actually done in practice. • Benchmarks and domain depth: Design challenging finance tasks and evaluation sets, and help build finance-specific skills and tools together with the research team. • Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit financial judgment into explicit, teachable criteria. — 3. Core Qualifications • Experience: 5+ years of substantive, dedicated professional finance experience at a recognized institution — for example an investment bank, asset manager, private equity or credit fund, Big Four firm, a large corporate finance function, or a financial regulator. Generalist roles that only touch finance peripherally do not count. • Domain depth: Genuine specialization in at least one core finance discipline, for example corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, or accounting and audit. • Seniority: Clear progression to a senior individual-contributor or leadership level — for example Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO — with real ownership of analysis and decisions. • Education and credentials: An advanced degree from a strong program (MBA, MS, or PhD in finance, economics, accounting, or a quantitative field) and/or a recognized professional credential such as CFA, CPA, FRM, or an actuarial designation. Strongly preferred. • AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. • Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. • Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. • Excellent written communication, and the ability to give precise, well-structured written feedback. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$100 - $150 / hourOpen / Referral verified
Legal / Bay Area, CA

Partner & General Counsel - Legal Domain Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — We are hiring a senior legal domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real legal work. — Your legal expertise is the substance of this role. You will review the quality of legal knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. — Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. — 2. Key Responsibilities • Data QA and reviews: Vet the quality of legal knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, and answers that read well but would not survive professional scrutiny. • Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to legal problems, and define new legal tasks that reflect how the work is actually done in practice. • Benchmarks and domain depth: Design challenging legal tasks and evaluation sets, and help build legal-specific skills and tools together with the research team. • Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit legal judgment into explicit, teachable criteria. — 3. Core Qualifications • Education: Juris Doctor (JD) from an accredited law school; a highly ranked school is strongly preferred. • Experience: 5+ years of substantive post-qualification legal practice at a reputable institution — an established law firm, a corporate legal department, a regulatory body, or a court. Internships and clerkships alone do not count. • Domain depth: Genuine specialization in at least one substantive practice area, for example corporate and transactional, litigation and dispute resolution, regulatory and compliance, intellectual property, employment and labor, or tax. • Seniority: Clear progression to a senior level — partner, of counsel, counsel, senior associate, senior in-house counsel, or general counsel — with real ownership of matters. • Licensure: Active admission to at least one U.S. state bar, in good standing. • AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. • Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. • Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. • Excellent written communication, and the ability to give precise, well-structured written feedback. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$100 - $150 / hourOpen / Referral verified
Finance / Bay Area, CA

Private Equity & Venture Capital - Finance Domain Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — We are hiring a senior finance domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real financial work. — Your finance expertise is the substance of this role. You will review the quality of finance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. — Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. — 2. Key Responsibilities • Data QA and reviews: Vet the quality of finance knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, flawed assumptions, and answers that read well but would not survive professional scrutiny. • Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to financial problems, and define new finance tasks that reflect how the work is actually done in practice. • Benchmarks and domain depth: Design challenging finance tasks and evaluation sets, and help build finance-specific skills and tools together with the research team. • Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit financial judgment into explicit, teachable criteria. — 3. Core Qualifications • Experience: 5+ years of substantive, dedicated professional finance experience at a recognized institution — for example an investment bank, asset manager, private equity or credit fund, Big Four firm, a large corporate finance function, or a financial regulator. Generalist roles that only touch finance peripherally do not count. • Domain depth: Genuine specialization in at least one core finance discipline, for example corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, or accounting and audit. • Seniority: Clear progression to a senior individual-contributor or leadership level — for example Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO — with real ownership of analysis and decisions. • Education and credentials: An advanced degree from a strong program (MBA, MS, or PhD in finance, economics, accounting, or a quantitative field) and/or a recognized professional credential such as CFA, CPA, FRM, or an actuarial designation. Strongly preferred. • AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. • Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. • Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. • Excellent written communication, and the ability to give precise, well-structured written feedback. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$110 - $150 / hourOpen / Referral verified
Medical / Remote

Child & Adolescent Mental Health Clinical Advisor (AI Safety Benchmark Project)

We are partnering with a leading AI research organisation to develop a clinician-informed benchmark for evaluating how AI companion chatbots respond to adolescents experiencing mental health challenges. As AI companions become increasingly common sources of emotional support, there is a growing need for rigorous, clinically grounded evaluation of how these systems handle sensitive situations such as suicide risk, therapeutic guidance, and emotional dependency. We're seeking experienced Child & Adolescent Psychiatrists, Clinical Psychologists, and Mental Health Researchers to contribute their expertise in designing realistic clinical scenarios and evaluation standards for this important AI safety initiative. • * * — Responsibilities • Author fictionalised adolescent mental health case scenarios based on real-world clinical expertise. • Review scenarios for clinical realism, developmental appropriateness, and ethical considerations. • Help develop and refine clinician-informed evaluation rubrics for AI chatbot responses. • Review a subset of AI-generated conversations and provide expert judgment to calibrate automated evaluation systems. • Advise on best practices for assessing AI behaviour across key mental health domains, including: • Suicide & Self-Harm (risk recognition, safety planning, crisis referral) • Medical & Therapeutic Impersonation (diagnosis, treatment advice, discouraging professional care) • Parasocial Attachment & Anthropomorphism (claims of consciousness, emotional dependency, discouraging trusted relationships) • * * — Requirements — We are looking for clinicians and researchers with substantial expertise in child and adolescent mental health. — Required Qualifications • MD, DO, PhD, PsyD, or equivalent qualification in Psychiatry, Psychology, or a related mental health field. • Clinical or research experience focused on children and adolescents. • Expertise in one or more of the following: • Suicide prevention • Self-harm assessment • Child & adolescent psychiatry • Clinical child psychology • Digital mental health • Evidence-based therapies such as DBT or CBT • Strong written communication skills and ability to provide structured clinical feedback. • Comfortable reviewing fictional clinical scenarios and evaluating AI-generated conversations. — Preferred Qualifications • Experience conducting suicide risk assessments or crisis intervention. • Academic or published research in adolescent mental health, suicide prevention, or digital therapeutics. • Experience developing clinical guidelines, assessment frameworks, or educational materials. • Prior work involving AI, digital health technologies, or mental health product evaluation. • Experience supervising trainees or participating in multidisciplinary clinical teams. • * * — Role Details • Commitment: Approximately 10–15 hours per week. • Compensation: $80 - $150 USD per hour • * * — Why Join? • Help shape the future of safe AI systems for adolescents. • Apply your clinical expertise to one of the most important emerging questions in AI safety and digital mental health. • Collaborate with researchers developing rigorous evaluation standards for AI companion chatbots. • Contribute to work that may influence future AI research, independent benchmarking, and responsible deployment of conversational AI.

$80 - $150 / hourOpen / Referral verified
Finance / Remote

Utilisation Management / Case Management leader (RN/Physician-advisor)

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Utilisation Management and Case Management leaders — including RN UM directors, case management managers, and physician advisors — to evaluate AI tools designed to enhance clinical review, medical-necessity determination, and care-coordination workflows. Your clinical and operational expertise will directly shape AI systems that improve utilisation performance, reduce unnecessary care, and support value-based care objectives. — Responsibilities • Lead utilisation management and/or case management operations, including concurrent review, retrospective review, discharge planning, and care coordination. • Evaluate AI-generated medical necessity determinations, clinical review outputs, and UM decision-support recommendations for accuracy and clinical appropriateness. • Conduct and oversee clinical reviews against InterQual, MCG, or Milliman care guidelines to support admission, continued stay, and level-of-care determinations. • Manage the physician advisor program to support complex UM cases, peer-to-peer review requests, and denial appeals. • Coordinate with clinical teams, payers, and post-acute providers to facilitate appropriate care transitions and discharge planning. • Monitor UM/CM KPIs, including avoidable days, denial rates, observation vs. inpatient conversion rates, and readmission rates. • Ensure compliance with CMS Conditions of Participation, Two-Midnight Rule, and payer-specific UM requirements. • Collaborate with revenue cycle, compliance, and clinical leadership to align UM performance with financial and quality objectives. • Annotate AI outputs and provide structured clinical feedback to support AI training datasets. — Requirements • 5+ years of experience in utilisation management, case management, or clinical review, with at least 2 years in a leadership role. • Active clinical licensure (RN required; physician advisor/MD preferred) with strong medical necessity review expertise. • Deep knowledge of InterQual, MCG, or Milliman clinical review criteria. • Expertise in CMS Two-Midnight Rule, observation status regulations, and inpatient criteria. • Experience managing physician advisor programs and peer-to-peer review processes with payers. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to critically evaluate clinical documentation and AI-generated UM outputs. — Preferred Qualifications • CPUR (Certified Professional in Utilisation Review), ACM (Accredited Case Manager), or CCM (Certified Case Manager) credential. • MD or DO with UM/physician advisor experience preferred for physician advisor roles. • Experience with UM software platforms (Allscripts, Utilisation Management software, or equivalent). • Familiarity with AI tools and comfort evaluating AI-generated clinical review content. • Background in health system, ACO, or value-based care organisation UM programs. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in utilisation management and clinical decision-support. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$100 - $150 / hourOpen / Referral verified
Medical / Remote

Psychiatry Expert

Psychiatrist — Mercor is seeking board-certified psychiatrists for a project with one of the world's top AI labs. — We welcome applications from psychiatrists across all practice settings, with particular interest in subspecialty expertise. This role evaluates how large language models reason through advanced psychiatric cases. You will design expert-level diagnostic and reasoning challenges that current models fail, then provide authoritative, gold-standard answers. — Required • Completed psychiatry residency: ACGME, AOA, or national equivalent. In-training does not count. • Medical degree: MD or DO. DO and international degrees qualify. • Active board certification in psychiatry: ABPN, FRCPC, MRCPsych, FRANZCP, or recognized national equivalent. Board-eligible and lapsed do not count. • Active, unrestricted medical license. No suspension, revocation, or open disciplinary action. • 3+ years of independent practice after residency, currently or within the last 2 years. Training years excluded. • Practice in an accredited or government-licensed setting: hospital, academic center, community clinic, private practice, or telehealth. Recognized means accredited, not self-described. • Based in the US, UK, Europe, or Australia. US preferred. — Preferred (scored, not gates) • 10+ direct patient-contact hours per week, current. Clinical care only. • Psychiatry-Specific Subspecialty depth in Addiction, Child/Adolescent, Forensic, Geriatric, or Consultation-Liaison. Demonstrated through fellowship, subspecialty board, or 2+ years of practice. • Must be a psychiatry focus • OSCE development or examiner experience. Sitting one as a candidate does not count. • Faculty appointment in a department of psychiatry, current or within 2 years. — Role details: • Develop gold-standard answers with clear clinical reasoning • Emphasize edge cases, nuanced differentials, and risk assessment • Collaborate directly with research teams at a leading AI lab • Provide feedback on common failure modes in model reasoning — Screening Process: • Complete a short interview (approximately 20–30 minutes) • The interview explores your clinical background and subspecialty expertise

$150 / hourOpen / Referral verified
Finance / Remote

Investment Banking Expert

Mercor is recruiting U.S./UK/Canada/Europe/Australia-based Investment Banking Experts for a research project with a leading foundational model AI lab. — You are a good fit if you: • Have at least 2 years of experience working at top firms in investment banking and experience in at least one of the following • Financial Modeling • Pitch Decks • Investment/Analysis Summaries and Memos • Company/Industry Analysis — Here are more details about the role: • You must be able to commit at least 10 hours per week for this role • This is a minimum four week engagement, with potential for significant extension or rotation to similar, future projects • Successful contributions increase the odds that you are selected on future projects with Mercor • This role will pay between $100-$130/hour with potential for increases for top performers

$100 - $130 / hourOpen / Referral verified
Business / Remote

Marketing Expert

1. Role Overview — Mercor is partnering with a leading AI research organization to engage experienced marketing professionals for a project focused on evaluating how well AI systems perform real-world marketing work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. — 2. Key Responsibilities • Design precise, task-specific grading criteria for real-world marketing deliverables (creative briefs, campaign concepts and decks, brand positioning and messaging frameworks, ad copy and scripts, integrated campaign plans, client-ready presentations) • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score • Apply consistent, evidence-based judgment so that scores are reproducible and defensible • Incorporate structured feedback from senior reviewers and iterate quickly on your work — 3. Ideal Qualifications • 5+ years of professional experience in marketing or advertising • Background as a creative director, account lead, or brand strategist at top-tier global creative agencies, or in senior brand marketing roles at leading consumer companies • Deep fluency in the day-to-day craft: writing and evaluating creative briefs, campaign development across channels, brand positioning and messaging, and judging creative work against a brief and a business objective • Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers • Prior experience with AI training, evaluation, or human-data projects is a strong plus • No specialized media-planning or measurement background is required for this role — 4. Application Process • Submit your resume or relevant professional background to get started • Qualified applicants may be asked to complete a brief assessment or submit additional information

$80 - $150 / hourOpen / Referral verified
Business / Remote

B2B Sales Expert

1. Role Overview — Mercor is partnering with a leading AI research organization to engage experienced B2B sales professionals for a project focused on evaluating how well AI systems perform real-world sales work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. — 2. Key Responsibilities • Design precise, task-specific grading criteria for real-world sales deliverables (prospecting sequences and outreach emails, discovery and demo call plans, account and territory plans, proposals, mutual action plans, forecast and pipeline reviews) • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score • Apply consistent, evidence-based judgment so that scores are reproducible and defensible • Incorporate structured feedback from senior reviewers and iterate quickly on your work — 3. Ideal Qualifications • 5+ years of professional B2B sales experience, including quota-carrying roles • Background as an Account Executive or Sales Development Representative selling into large enterprises • Deep fluency in the day-to-day craft: outbound prospecting and sequencing, discovery and qualification, multi-stakeholder deal management, pipeline hygiene and forecasting, and structured sales methodologies • Exceptionally strong written communication, with the ability to explain exactly why a piece of work would or would not land with a real buyer • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers • Prior experience with AI training, evaluation, or human-data projects is a strong plus — 4. Application Process • Submit your resume or relevant professional background to get started • Qualified applicants may be asked to complete a brief assessment or submit additional information

$100 - $150 / hourOpen / Referral verified
Finance / Remote

Patient Financial Clearance Leader

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Patient Financial Counselling and Financial Clearance leaders to support the evaluation of AI tools designed to enhance financial clearance operations and patient financial assistance workflows. Your expertise in charity care, self-pay collections, financial screening, and patient financial advocacy will help shape AI systems that improve patient access while optimising revenue capture. — Responsibilities • Lead patient financial counselling and financial clearance operations including charity care screening, financial assistance applications, and self-pay resolution. • Evaluate AI-generated financial counselling recommendations, eligibility screening outputs, and patient communication drafts for accuracy and appropriateness. • Screen patients for Medicaid eligibility, charity care qualification, and financial assistance program enrollment. • Counsel patients on financial obligations, payment plan options, and available assistance programs. • Coordinate with social work, case management, and billing teams to address complex patient financial situations. • Develop and maintain SOPs for financial clearance workflows, including pre-service financial screening and point-of-service collections. • Monitor KPIs including charity care conversion rates, financial assistance enrollment, and point-of-service collection performance. • Ensure compliance with regulatory requirements for financial assistance programs (501(r) regulations, EMTALA). • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in patient financial counselling, financial clearance, or self-pay revenue cycle management, with at least 2 years in a leadership role. • Deep knowledge of charity care programs, financial assistance eligibility, Medicaid screening, and self-pay collections. • Familiarity with 501(r) regulatory requirements and hospital financial assistance policy compliance. • Experience with point-of-service collections, payment plan administration, and patient financial advocacy. • Proficiency with EHR platforms (Epic, Cerner) and financial assistance management tools. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to evaluate financial documentation and AI-generated outputs. — Preferred Qualifications • Certified Revenue Cycle Representative (CRCR) or similar revenue cycle certification. • Experience with presumptive eligibility screening tools and Medicaid enrolment facilitation. • Background in hospital, health system, or federally qualified health centre (FQHC) settings. • Familiarity with AI tools and comfort evaluating AI-generated patient financial content. • Experience developing patient financial education materials and staff training programs. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in healthcare revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$135 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (USA)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking USA-based voice actors with native American English accents to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native American English speaker currently based in the United States • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the clients CX AI Agent so please only apply if you are okay with voice cloning — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $150 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (African American)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking USA-based African American voice actors to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • USA-based voice actor with a natural African American English delivery • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $150 / hourOpen / Referral verified
Medical / Remote (United States)

Medicare Advantage Members (Devoted Health) – Insight Study

Mercor is conducting a paid research study in collaboration with a leading AI research lab focused on improving healthcare and member experiences. We are seeking current or former Devoted Health Medicare Advantage members/Age 64+ to participate in a short online survey about their experience with their health plan. Participants will share perspectives on plan enrollment, benefits, member support, and day-to-day healthcare experiences. Insights gathered will help inform the development of AI tools designed to improve how health plans serve their members. — Responsibilities — Participants will be asked to: • Complete a structured ~20-minute online survey • Provide a mix of multiple-choice answers and short voice-recorded responses (approximately 10 voice responses) • Share perspectives on their experience as a Medicare Advantage plan member • Submit all responses within the given timeline — Requirements • Based in the United States • Age 64+ / Medicare-eligible • Currently or previously enrolled in a Devoted Health Medicare Advantage plan • Comfortable providing voice-recorded responses • Access to a microphone and a quiet environment • Able to independently complete a ~20-minute online survey — Engagement Details • Format: Online survey (voice-recorded responses + multiple-choice questions) • Duration: Approximately 20 minutes • Compensation: One-time payment upon successful verification of the submission • Location: Remote (United States) — Why Participate • Contribute to research shaping the next generation of healthcare AI tools • Share your real-world experience as a Medicare Advantage plan member

$120 / hourOpen / Referral verified
STEM / Remote

Research Physics Expert

Role Overview — We are seeking expert physics researchers to author and verify golden reference solutions for the CritPt benchmark (arXiv:2509.26574v3) — a frontier research-level physics benchmark. Participants will solve CritPt research-level problems end-to-end, audit solutions from other experts, or adjudicate between parallel solution attempts, producing 100%-human-verified reference data used to evaluate large language models on frontier physics reasoning. — Physics Subdomains Covered — High Energy Physics & Mathematical Physics, Biophysics & Statistical Physics, Condensed Matter & AMO, Gravitation / Cosmology / Astrophysics, Quantum Information, Optical Properties of Materials, Magnetic Materials, Measurements in QM. — Key Responsibilities • Solve research-level physics challenges end-to-end with verifiable derivations, code, and peer-reviewed references • Decompose challenges into standalone checkpoint sub-problems that require genuine physical reasoning • Author Python answer templates with auto-grading functions for symbolic or numerical answers • Audit submitted solutions for correctness, scope, and method soundness; deliver actionable feedback across iterations • Adjudicate between parallel solver attempts and decide which solution becomes the golden reference • Document chain-of-thought reasoning, error tolerances, equivalent symbolic forms, and verification test cases — Ideal Qualifications • Solver: PhD or postdoc in the relevant subfield (senior PhD student minimum) • Auditor: Postdoc or junior professor in the relevant subfield (PhD minimum) • Adjudicator: Full professor or industry research PI in the relevant subfield (senior postdoc or junior professor minimum) • Hands-on familiarity with at least two canonical methods of the target subfield, demonstrable through publications (broader coverage strongly preferred) • 3–5 representative publications (arXiv ID or DOI), ideally within the last ~5 years and in the target subfield • Working proficiency with LaTeX, Python, Jupyter, and SymPy • Strong written English (B2/C1/C2 minimum; native or near-native preferred) — More About the Opportunity • Expected commitment: ~10 hours/week, sustained across an 8–10 week window per task pool • Pay range: $80–$135 per hour, based on role and demonstrated expertise • Asynchronous work

$80 - $135 / hourOpen / Referral verified
Finance / Remote

Domain Expert – Banking (Oracle FLEXCUBE Research)

Domain Expert – Banking (Oracle FLEXCUBE Research) — To qualify you must use Oracle FLEXCUBE regularly — weekly or more — as a working part of your job, with 2+ years of professional banking experience. — FLEXCUBE knowledge we require — _Credit & exposure_ • Calculating current exposure against the bank's credit standard as at a given business date; arrears and headroom calculation • Distinguishing a validation-only posting from a booked transaction against a contract • Reading limits/facility structures; recognizing when an item needs committee sign-off vs. branch-level approval — _Customer & relationship records_ • Customer Information File (CIF) structure and relationship hierarchies • Recording contact/interaction history accurately, including on partial or handed-off information • Setting and interpreting review dates and follow-up flags on a customer file — _Contracts & core banking operations_ • Contract inquiry and lifecycle screens (origination, drawdown, repayment, release) • Branch lending repayment validation vs. contract booking • Distinguishing what's confirmed vs. assumed when picking up a file mid-process — _Reference & product data_ • Product parameter tables, GL mapping, and how product configuration constrains what a transaction can do • Settlement/correspondent references where relevant to a contract — _Regulatory & credit standards_ • Applying the bank's own credit standard/policy to determine current risk position • Version/currency awareness — which policy or limit applies as of the current business date — _Audit & handoff_ • Recording validations, conclusions, and open items so the next person in the workflow can see exactly what was decided and what's still outstanding • MIS / reporting screens relevant to exposure and customer position — What you'll do • Confirm the customer/contract position reflects what actually happened, not what's assumed, especially on partial handoffs • Work out current exposure under the bank's credit standard as at the current business date, and record it with a review date • Distinguish validation-only actions from bookings that affect a contract • Judge completeness: is the full position understood, is anything left open that shouldn't be, is the record ready for the next reviewer or for committee • Verify recorded outcomes are traceable — auditable, not just noted informally — Requirements • Frequent Oracle FLEXCUBE use — weekly or more — in your current or recent role • 2+ years of professional experience in banking operations, credit, or a related core-banking function • Reflexive familiarity with credit standards, exposure calculation, and validation-vs-booking distinctions • Bachelor's degree in Finance, Accounting, Business, or a related field; a banking/credit certification (e.g., Chartered Banker – CIOB, Certified Credit Professional) or equivalent hands-on core-banking experience

$75 - $120 / hourOpen / Referral verified
Code / Remote

LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)

We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems. — Responsibilities • Train image classifiers and generative image models from scratch, and fine-tune open-weight language models. • Get the most out of limited data, compute, and model-size budgets. • Make models robust — to adversarial inputs and to adversarial conversations. • Compress models to meet hard size and latency constraints without sacrificing accuracy. • Diagnose and resolve training issues. — Requirements — We are looking for candidates with strong expertise in one or more of the following areas: — Adversarial Robustness — Experience with: • Adversarial training of image classifiers (e.g. PGD-based training, TRADES). • Evaluating robust accuracy under standard threat models (e.g. L∞ attacks, AutoAttack) and avoiding gradient-masking pitfalls. • Managing the robustness–accuracy trade-off and robust overfitting. — Efficient Computer Vision — Experience with: • Training image classifiers end-to-end, especially for fine-grained recognition (many visually similar classes, few examples per class). • Model compression: quantization, pruning, and knowledge distillation from large teachers into small students. • Deploying models under hard size or latency budgets (on-device, edge, or embedded settings). — Generative Image Modeling — Experience with: • Training image generative models from scratch: diffusion models, GANs, VAEs, or flow-based models. • Iterating against sample-quality metrics such as FID. • Training-efficiency tricks that produce good generators quickly and at small parameter counts. — LLM Post-Training & Behavioral Robustness — Hands-on experience with one or more of: • Supervised fine-tuning and preference optimisation (DPO, RLHF, RLAIF) of open-weight language models, including building your own datasets via synthetic generation, noisy or weak supervision, and rejection sampling. • Shaping conversational behaviour over multiple turns: resistance to persuasion and sycophancy, calibrated confidence, and knowing when to accept corrections. • Alignment-style fine-tuning that changes a specific behaviour while preserving general capability. — Multilingual Pre-training — Experience with: • Training multilingual or low-resource-language models from scratch. • Tokenizer design across scripts and typologically diverse languages. • Balancing highly unequal per-language data (sampling temperatures, cross-lingual transfer) in data-constrained regimes. — Additional Areas of Interest — Experience in any of the following is a plus: • Scaling laws and training-efficiency research. • Curriculum learning and data ordering. • Model evaluation: benchmark construction, contamination control, statistically sound comparisons. • Uncertainty estimation and model calibration. • Data augmentation and synthetic data for robustness. — General Qualifications • 3+ years of machine learning research experience (PhD research counts toward this requirement). • Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks. • Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions. — Why Join • Work on cutting-edge machine learning research. • Collaborate with leading AI researchers on challenging, high-impact projects. • Flexible, project-based work with competitive compensation.

$100 - $120 / hourOpen / Referral verified
Language / Remote

User/customer research and feedback synthesis Evaluator

About the role — We are hiring expert Evaluators in User/customer research and feedback synthesis to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs. — This is a remote, hourly engagement. — Requirements (must have) — 1. 5+ years of relevant professional experience in User/customer research and feedback synthesis. 2. Native or professional fluency in English. 3. Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint). — Preferred (nice to have) • Advanced degree (Master's or higher) from a reputable institution. — What you'll do • Evaluate AI-generated artifacts against domain-specific quality rubrics. • Identify factual, aesthetic, and presentation errors. • Provide clear, structured written feedback.

$80 - $120 / hourOpen / Referral verified
Legal / Bay Area, CA

Senior Counsel — Legal Domain Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — We are hiring an experienced counsel-level lawyer to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real legal work. — This listing is for practitioners at counsel or senior associate level, with roughly 8 to 15 years of post-qualification practice. If you are earlier in your career, or if you are at partner or General Counsel level, please apply to the corresponding Legal Domain Expert listing instead — we run separate listings by seniority so the rate matches the experience. — Your legal expertise is the substance of this role. You will review the quality of legal knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. — Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. — 2. Key Responsibilities • Data QA and reviews: Vet the quality of legal knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, and answers that read well but would not survive professional scrutiny. • Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to legal problems, and define new legal tasks that reflect how the work is actually done in practice. • Benchmarks and domain depth: Design challenging legal tasks and evaluation sets, and help build legal-specific skills and tools together with the research team. • Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit legal judgment into explicit, teachable criteria. — 3. Core Qualifications • Education: Juris Doctor (JD) from an accredited law school; a highly ranked school is strongly preferred. • Experience: 8 to 15 years of substantive post-qualification legal practice at a reputable institution — an established law firm, a corporate legal department, a regulatory body, or a court. Internships and clerkships alone do not count. • Seniority: Currently at or has reached counsel, senior associate, senior in-house counsel, or Assistant General Counsel level, with real ownership of matters. • Domain depth: Genuine specialization in at least one substantive practice area, for example corporate and transactional, litigation and dispute resolution, regulatory and compliance, intellectual property, employment and labor, or tax. • Licensure: Admission to at least one U.S. state bar, in good standing. • AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. • Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. • Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. • Excellent written communication, and the ability to give precise, well-structured written feedback. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$85 - $120 / hourOpen / Referral verified
Medical / Remote

Applied Health & Medicine Benchmark Specialist

Role Overview — We are seeking expert medical and health science professionals to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core health and medicine domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of medical expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Health & Medicine Domains Covered — Clinical Medicine & Surgery, Medical Imaging & Diagnostics, Pharmacovigilance, Healthcare Management & Economics, Rehabilitation and Allied Health. — Key Responsibilities • Author original health and medicine questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, clinical guidelines) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • MD, DO, PhD, or doctoral candidate in Medicine, Biomedical Sciences, Public Health, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level medical knowledge, clinical reasoning, and biomedical research methodology • Board certification, clinical experience, or research publications in health fields is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$94 - $119 / hourOpen / Referral verified
Finance / Remote

Tax Accountant / Specialist

Role Overview — Mercor is collaborating with a leading AI lab to engage experienced tax professionals. You'll translate real tax compliance, provision, and planning work into structured, high-quality training data that teaches AI to reason about how tax accountants actually work. — Focus Areas — Tax — across corporate, individual, partnership / pass-through, SALT, and international sub-specialties. — Key Responsibilities • Design realistic scenarios from your tax work — return preparation (1040 / 1120 / 1120-S / 1065), tax provision (ASC 740), responses to notices / IDRs and controversy support, tax planning and estimated payments • Review and compare AI-generated tax outputs for technical accuracy and defensible positions • Provide clear written feedback that improves how AI performs tax tasks • Collaborate asynchronously with the research team — Ideal Qualifications • CPA or EA (Enrolled Agent) • A clear tax sub-specialty — corporate, individual, partnership, SALT, or international / cross-border • Public accounting (firm) or in-house tax experience • Bachelor's degree in Accounting, Finance, or a related field • Strong written communication and attention to detail — Application Process • Submit a resume or a short summary of your tax experience • Complete a short form on your practice area, specialties, and certifications • Selected applicants may complete a brief sample task

$80 - $120 / hourOpen / Referral verified
Finance / Remote

Corporate / Controllership Accountant

Role Overview — Mercor is collaborating with a leading AI lab to engage experienced corporate / controllership accountants. You'll translate the day-to-day of running the books — financial reporting, the month-end close, and core accounting operations — into structured, high-quality training data that teaches AI to reason about real accounting work. — Focus Areas — Financial accounting & reporting · bookkeeping / client accounting services (CAS) · accounting operations (AP / AR / payroll). — Key Responsibilities • Design realistic scenarios from your controllership work — financial statement preparation, journal entries, account & bank reconciliations, month-end / period-end close, fixed-asset & depreciation schedules, accruals and prepaids • Review and compare AI-generated accounting outputs for accuracy, GAAP compliance, and sound professional judgment • Provide clear written feedback that improves how AI performs close and reporting tasks • Collaborate asynchronously with the research team — Ideal Qualifications • CPA, or 3–5+ years of corporate/in-house or firm accounting experience (no niche certification required) • Hands-on ownership of the general ledger and the period-end close • Bachelor's degree in Accounting, Finance, or a related field • Comfortable with common accounting tools (QuickBooks, NetSuite, SAP, Oracle, Excel) • Strong written communication and attention to detail — Application Process • Submit a resume or a short summary of your accounting experience • Complete a short form on your practice area, specialties, and certifications • Selected applicants may complete a brief sample task

$80 - $120 / hourOpen / Referral verified
Finance / Remote

Accounting Expert

Role Overview — Mercor is collaborating with a leading AI lab to engage experienced accounting professionals across all areas of practice — including audit, tax, financial reporting, bookkeeping, controllership, forensic, and accounting systems. Contributors help build AI systems that reason about real accounting work by translating everyday accounting workflows, judgments, and decision-making into structured, high-quality training data. — Key Responsibilities • Design realistic accounting scenarios and tasks drawn from your day-to-day work (e.g., financial statement preparation, reconciliations, journal entries, audit procedures, tax filings, month-end close, internal controls) • Review and compare AI-generated accounting outputs for accuracy, standards compliance (GAAP/IFRS), and sound professional judgment • Create structured examples that reflect how accountants actually reason through problems • Provide clear written feedback that improves how AI performs accounting tasks • Collaborate asynchronously with the research team — Ideal Qualifications • 3+ years of professional experience in accounting, audit, tax, bookkeeping, or finance operations (public accounting, corporate/in-house, advisory, or a firm) • CPA, CA, ACCA, CMA, EA, or an equivalent professional credential required • Bachelor's degree in Accounting, Finance, or a related field • Comfortable with common accounting tools (e.g., QuickBooks, NetSuite, SAP, Oracle, Excel) • Strong written communication and attention to detail — More About the Opportunity • Open to all accounting specialties — contribute where your expertise is strongest • Work spans task design, evaluation, and structured feedback on AI accounting outputs • Strong contributors advance into reviewer, lead, and domain-expert roles — Application Process • Submit a resume or a short summary of your accounting experience • Complete a short form on your practice area, specialties, and certifications • Selected applicants may complete a brief sample task • Follow-up typically provided within a few days

$80 - $120 / hourOpen / Referral verified
Code / United States Remote

Senior Software Engineer, Full Stack (Python, Java, Rust, C#, C++)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Senior Full-Stack Software Engineers with deep, hands-on production expertise across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early. This is a full-time commitment of 40 hours per week. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Build and ship full-stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end. • Integrate pre-release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry. • Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team. • Prototype quickly against shifting requirements, delivering working increments with limited up-front specification. • Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation. — 3. Core Qualifications • 6+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization, including ownership of systems end to end. • Deep production experience in at least one of Python, Java, Rust, C#, or C++, plus demonstrated delivery in a second language across a different ecosystem — this cohort is intentionally staffed across multiple language ecosystems. • Hands-on ownership across the stack: backend service and API design, a modern front-end framework (React or equivalent), data modelling, and cloud deployment and operations. • Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up. • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$90 - $110 / hourOpen / Referral verified
Code / United States Remote

MLOps Engineer (JAX, PyTorch, Pallas/Triton)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton). This role involves AI model training and evaluation work, including writing and assessing MLOps tasks and solutions to generate high-quality training data for frontier AI systems. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. This is a 40-hour full-time engagement, with no conflicts/no other engagements. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems. • Evaluate MLOps tasks and solutions and provide clear, written technical feedback. • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization. • Hands-on production experience with JAX and/or PyTorch at scale. • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton. • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$70 - $110 / hourOpen / Referral verified
Code / United States Remote

Performance Engineer (C++, Python, Rust)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — We're seeking talented Performance Engineers with deep expertise in low-level systems optimization — specifically C++, Python, and Rust — to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data. This role involves AI model training and evaluation work, including writing and assessing performance-engineering tasks and solutions to generate high-quality training data for frontier AI systems. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. This is a 40-hour full-time engagement, with no conflicts/no other engagements. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler engineering, and runtime performance topics. • Design challenging, domain-relevant tasks across multiple specializations, and write accurate and well-structured solutions to performance engineering problems. • Evaluate performance engineering tasks and solutions and provide clear, written technical feedback. • Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality across AI workloads. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization. • Deep hands-on expertise in at least one of the following: C++, Python, or Rust — with working familiarity across the others being a strong plus. • Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization). • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$70 - $110 / hourOpen / Referral verified
Code / Remote

Risk-adjustment / HCC coding leader

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Risk Adjustment and HCC Coding leaders to evaluate AI tools designed to improve risk score accuracy and coding completeness in Medicare Advantage, Medicaid managed care, and ACA markets. Your expertise in hierarchical condition category (HCC) methodology, RADV audit preparation, and risk adjustment coding will directly shape AI systems that enhance documentation capture and risk score integrity. — Responsibilities • Lead risk adjustment and HCC coding operations across Medicare Advantage, Medicaid, and/or ACA risk adjustment programs. • Evaluate AI-generated HCC coding assignments and risk adjustment recommendations for clinical accuracy and regulatory compliance. • Review medical records to ensure complete and accurate capture of HCC-eligible conditions supported by clinical documentation. • Conduct and oversee retrospective and prospective chart reviews for risk score optimisation. • Manage RADV (Risk Adjustment Data Validation) audit preparation and response processes. • Monitor risk adjustment KPIs including HCC capture rates, risk score accuracy, and chart retrieval rates. • Collaborate with clinical, coding, and compliance teams to improve documentation and coding for risk adjustment purposes. • Ensure compliance with CMS risk adjustment guidelines (RAPS, EDGE submissions) and Official Coding Guidelines. • Annotate AI outputs and provide structured coding feedback to support AI training datasets. — Requirements • 5+ years of experience in risk adjustment coding, HCC coding, or Medicare Advantage coding operations, with at least 2 years in a leadership role. • Deep expertise in CMS-HCC, RxHCC, and/or ACA HHS-HCC risk adjustment methodologies. • Strong knowledge of ICD-10-CM coding guidelines as applied to HCC risk adjustment. • Experience with RADV audit preparation and CMS compliance requirements. • Familiarity with RAPS and EDGE submission processes. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify coding inaccuracies and documentation gaps in AI-generated outputs. — Preferred Qualifications • CRC (Certified Risk Coder), CCS, CPC, or RHIA credential. • Experience with risk adjustment analytics platforms and chart retrieval systems. • Background in health plan, Medicare Advantage organisation, or value-based care setting. • Familiarity with AI-assisted HCC coding tools and comfort evaluating AI-generated risk adjustment content. • Experience presenting risk adjustment performance to actuarial or executive teams. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in risk adjustment and value-based care. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$110 / hourOpen / Referral verified
Finance / Remote

Advisory & Transaction Services Expert (M&A / Valuation)

Role Overview — Mercor is collaborating with a leading AI lab to engage experienced transaction advisory and valuation professionals. You'll translate real M&A, due diligence, and valuation work into structured, high-quality training data that teaches AI to reason the way deal teams do. — Focus Areas — M&A / transaction advisory · financial due diligence (quality of earnings) · business valuation · purchase accounting (ASC 805) support. — Key Responsibilities • Design realistic scenarios from your work — quality-of-earnings (QoE) analyses, working-capital and net-debt analyses, financial due-diligence findings, valuation models (DCF, comparable companies, precedent transactions), purchase price allocation (ASC 805), and deal / LBO models • Review and compare AI-generated advisory outputs for analytical accuracy, defensible assumptions, and sound professional judgment • Provide clear written feedback that improves how AI performs transaction and valuation tasks • Collaborate asynchronously with the research team — Ideal Qualifications • Transaction advisory (Big 4 TAS / boutique) and/or corporate development, investment banking, or valuation background • CPA, and/or ASA / ABV / CFA a plus for valuation-leaning candidates • Hands-on ownership of QoE, valuation, or deal models • Bachelor's degree in Accounting, Finance, or a related field • Strong written communication and attention to detail — Application Process • Submit a resume or a short summary of your transaction advisory / valuation experience • Complete a short form on your practice area, specialties, and certifications • Selected applicants may complete a brief sample task

$80 - $120 / hourOpen / Referral verified
Finance / Remote

Accounting Domain Intake — Shape Upcoming Accounting Engagements

About This Survey — Mercor is opening a series of accounting-focused engagements with leading AI labs over the coming weeks and months — spanning audit reasoning, financial reporting, tax, GAAP/IFRS analysis, and adjacent workstreams. Before we finalize the scope of each, we want to build them around how accountants *actually* work, not how the field is described in textbooks or public sources. — This is a written intake designed to map out the real workflows, tools, decision points, and specialty cuts inside the profession — from the inside. — What You'll Do • Complete a ~30-minute written intake about your accounting practice • Describe your day-to-day workflows, how your time is split, and the workflows core to your role • Explain how experienced accountants actually divide the field from the inside — the cuts insiders use, not the textbook ones • Share the "invisible" parts of your work that outsiders (including project designers) tend to miss • No right or wrong answers — detail and specificity matter far more than polish — Ideal Respondents • Practicing or recently practicing accountants — public accounting, corporate finance, audit, tax, or advisory • CPA (or equivalent) preferred; deep domain experience without the credential also welcome • Willing to write detailed, specific responses about the mechanics of your work — Why This Matters • Your intake shapes the scope of the accounting engagements we launch • Thoughtful responses translate directly into more offer matches and priority routing as we open new engagements over the coming weeks and months • Typical accounting rates on Mercor range from $80–$120/hr and scale with seniority — About Mercor — Mercor is a talent marketplace that connects experts with leading AI labs and research organizations. Backed by Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey.

$80 - $120 / hourOpen / Referral verified
Finance / Remote

FP&A & Treasury Analyst

Role Overview — Mercor is collaborating with a leading AI lab to engage experienced FP&A and treasury professionals. You'll translate real planning, analysis, and cash / treasury work into structured, high-quality training data that teaches AI to reason about how finance teams actually work. — Focus Areas — Financial planning & analysis (FP&A) · treasury & cash management. — Key Responsibilities • Design realistic scenarios from your work — operating budgets and rolling forecasts, flux / variance analysis and commentary, 13-week cash flow forecasts, daily cash positioning & bank administration, FX revaluation, debt / covenant compliance schedules, and formula-driven financial models • Review and compare AI-generated FP&A / treasury outputs for accuracy and sound judgment on assumptions • Provide clear written feedback that improves how AI performs planning and cash-management tasks • Collaborate asynchronously with the research team — Ideal Qualifications • Finance / MBA background with strong financial-modeling skills and hands-on cash / treasury exposure • CTP (Certified Treasury Professional) a plus for treasury-leaning candidates • Corporate FP&A or treasury experience at a mid-size or larger company • Bachelor's degree in Finance, Accounting, or a related field • Strong written communication and attention to detail — Application Process • Submit a resume or a short summary of your FP&A / treasury experience • Complete a short form on your practice area, specialties, and certifications • Selected applicants may complete a brief sample task

$80 - $120 / hourOpen / Referral verified
Legal / Remote

Applied Legal Benchmark Specialist

Role Overview — We are seeking legal experts to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core law domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of legal expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Law Domains Covered — Intellectual Property, Privacy, and Technology, Regulatory and Government Affairs, Securities, Capital Markets, Financial Regulation & Compliance, Private Equity, M&A & Transaction Structuring, Antitrust, Merger Control & Competition, Healthcare, Life Sciences, & Pharmaceuticals, Environmental, Energy, & ESG/Climate. — Key Responsibilities • Author original law questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, legal repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • JD, LLM, SJD, or doctoral candidate in Law or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of legal reasoning, statutory interpretation, and jurisprudential theory • Experience with bar exam writing, legal academia, or judicial clerkships is a strong plus • Excellent written English and ability to express complex legal ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$83 - $105 / hourOpen / Referral verified
STEM / Remote UK

Molecular Biology Experts

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Molecular Biology subject-matter experts (SMEs) with hands-on experience designing DNA and RNA sequences — primers, plasmids, guide RNAs, mRNA constructs, and repair templates — to bring deep domain expertise and elevate the quality of our AI training data. This is a part-time to full-time commitment of up to 40 hours per week. — This is a W-2 employment position with Cincinnatus LLC (or appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in molecular biology, nucleic-acid sequence design, and construct engineering. • Design challenging, domain-relevant tasks and write accurate, well-documented solutions — spanning primers (PCR/qPCR/cloning), plasmids/expression vectors, gRNA/sgRNA for CRISPR editing, mRNA/RNA constructs, and HDR/repair templates — that serve as ground truth. • Evaluate molecular-biology tasks and AI model outputs against expert-quality solutions and provide clear, written technical feedback on correctness, rigor, and biological reasoning. • Develop guidelines and detailed rubrics/evaluation frameworks to assess sequence-design quality — guide/target selection, homology-arm length, primer melting temperature and specificity, codon optimization, and regulatory elements. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • Advanced degree (PhD strongly preferred) in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or a related life-science field. • Hands-on experience designing nucleic-acid constructs prior to experiments — across several of primers, plasmids/vectors, gRNA/sgRNA, mRNA, and HDR/repair templates — together with cloning strategy (Gibson, Golden Gate, Gateway, restriction) and codon optimization. • A strong peer-reviewed publication record, weighted toward first-author work in notable venues (e.g., Nature and the Nature family, Cell, eLife, Nucleic Acids Research, PNAS, EMBO Journal). Please include publication links with your application. • Demonstrable career progression. • Ability to engage reliably for at least 20 hours/week during weekdays. • Past experience in AI training, model evaluation, and data annotation is preferred. • Strong written communication skills and the ability to justify design choices clearly and precisely. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$70 - $105 / hourOpen / Referral verified
Medical / Remote

Prior Authorisation Manager

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Prior Authorisation Managers with clinical and medical expertise to support the evaluation of AI tools designed to streamline prior authorisation workflows. Your clinical knowledge of medical-necessity criteria, payer review processes, and utilisation management will help train AI systems to reduce administrative burden and improve patient access to care. — Responsibilities • Manage end-to-end prior authorisation workflows for medical and clinical services across multiple payer types. • Review clinical documentation to assess medical necessity against InterQual, MCG, or payer-specific criteria. • Evaluate AI-generated prior authorisation recommendations and clinical justification drafts for accuracy and appropriateness. • Coordinate with clinical staff, physicians, and payers to obtain timely authorisation approvals. • Track authorisation status, denials, and appeal outcomes to identify workflow improvement opportunities. • Develop and maintain SOPs for prior authorisation submission, follow-up, and escalation processes. • Monitor KPIs including authorisation approval rates, turnaround times, and denial rates. • Ensure compliance with payer requirements, CMS guidelines, and clinical review criteria. • Annotate AI outputs and provide structured clinical feedback to support AI training datasets. — Requirements • 5+ years of experience in prior authorisation, utilisation management, or clinical review, with at least 2 years in a management role. • Strong clinical background with knowledge of medical necessity criteria (InterQual, MCG, or equivalent). • Deep familiarity with commercial, Medicare Advantage, and Medicaid prior authorisation requirements. • Experience managing authorisation workflows across multiple specialities and service types. • Proficiency with authorisation management systems and EHR platforms (Epic, Cerner, or equivalent). • Exceptional written and verbal English communication skills. • High attention to detail with the ability to critically evaluate clinical documentation and AI-generated outputs. — Preferred Qualifications • Clinical licensure (RN, LPN, or equivalent) or relevant certification (CPUR, CPUM). • Experience with appeals and peer-to-peer review processes. • Familiarity with CMS prior authorisation rules and the No Surprises Act. • Background in physician office, hospital, or health plan prior authorisation operations. • Familiarity with AI tools and comfort evaluating AI-generated clinical content. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in healthcare revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$105 / hourOpen / Referral verified
Medical / Remote

Insurance Verification & Benefit Manager

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Insurance Verification and Eligibility & Benefits Managers to evaluate AI tools designed to automate front-end revenue cycle operations. Your deep expertise in payer systems, EDI transactions, and eligibility workflows will directly inform AI models that drive accuracy and efficiency in insurance verification processes. — Responsibilities • Oversee insurance verification, eligibility determination, and benefits investigation workflows across commercial, Medicare, Medicaid, and managed care payers. • Verify patient insurance coverage using payer portals, clearinghouses, and EDI 270/271 real-time eligibility transactions. • Identify and resolve coordination of benefits issues, coverage gaps, and eligibility discrepancies prior to service delivery. • Evaluate and annotate AI-generated eligibility verification outputs for accuracy, completeness, and payer compliance. • Develop and document SOPs for eligibility and benefits verification workflows. • Monitor KPIs including verification accuracy rates, front-end denial rates related to eligibility, and turnaround times. • Ensure compliance with payer-specific requirements, CMS guidelines, and HIPAA regulations. • Identify process gaps and recommend workflow improvements to reduce eligibility-related claim denials. • Provide structured feedback and annotations to support AI training datasets. — Requirements • 5+ years of experience in insurance verification, eligibility and benefits management, or front-end revenue cycle operations, with at least 2 years in a management role. • Expert knowledge of EDI 270/271 transactions, payer portal navigation, and real-time eligibility tools. • Strong familiarity with Medicare, Medicaid, and commercial payer eligibility requirements and benefit structures. • Proficiency with Epic, Cerner, Meditech, or equivalent EHR platforms. • Experience with clearinghouse platforms such as Availity, Change Healthcare, or similar. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify subtle discrepancies in coverage data. — Preferred Qualifications • CHAM, CHAA, or equivalent front-end revenue cycle certification. • Experience with automated eligibility verification tools and RPA solutions. • Background in denial root cause analysis related to eligibility and coverage errors. • Familiarity with AI tools and comfort evaluating AI-generated healthcare content. • Experience presenting eligibility performance data to senior leadership. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in healthcare revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$105 / hourOpen / Referral verified
STEM / Remote

Computational Chemistry & Electronic Structure Expert

Computational Chemistry & Electronic Structure Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience in: — Computational Chemistry & Electronic Structure — working with PySCF for quantum chemistry calculations including Hartree-Fock, DFT, TDDFT, CASSCF, and post-HF methods. Ideal candidates can design problems around excited-state analysis, orbital diagnostics, choosing the right method for tricky electronic structures, and interpreting computational artifacts that come from method limitations. — _Experience with other specialized software in this domain will also be considered._ — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $100 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Southern USA)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking USA-based voice actors with native Southern American English accents (e.g. Texas, Georgia, Tennessee, the Carolinas, Louisiana, Alabama, Mississippi) to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native Southern American English speaker currently based in the United States, with an authentic Southern US accent • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5–10 hours per week throughout the project duration. Please note: This is a short-term project expected to last 1–2 weeks. • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Standard French)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking native or native-level French speakers with a standard, neutral, accent-free French delivery to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native or native-level French speaker with a standard, neutral French accent (accent-free) — no strong regional accent and no foreign-language influence • Location does not matter — we welcome qualified speakers from anywhere, as long as the delivery is neutral, standard French • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration. • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
STEM / Remote

Computational Particle & Nuclear Physics Expert

Particle & Nuclear Physics Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience in: — Particle & Nuclear Physics — working with scikit-hep and related HEP Python tools for particle physics data analysis, cross-section computations, renormalization group calculations, and perturbative QCD. Experience with Monte Carlo event generation or collider phenomenology is a plus. — _Experience with other specialized software in this domain will also be considered._ — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $100 / hourOpen / Referral verified
STEM / Remote

Computational Astrophysics & Cosmology Expert

Computational Astrophysics & Cosmology Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience in: — Astrophysics & Cosmology — working with astropy and related tools for cosmological calculations, angular power spectra, galaxy survey analysis, and observational data reduction pipelines. — _Experience with other specialized software in this domain will also be considered._ — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $100 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning - Northern UK

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Northern UK-based female voice actors with authentic Northern English accents (e.g. Yorkshire, Manchester, Newcastle, Liverpool) to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Female voice actor with a natural, authentic Northern English accent, currently based in the northern UK • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Code / Remote

Bioinformatics & Computational Single-Cell Genomics Expert

Bioinformatics & Computational Single-Cell Genomics Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience in: — Bioinformatics & Single-Cell Genomics — working with tools like scanpy, scvelo, squidpy, and gudhi for single-cell RNA-seq analysis, trajectory inference, spatial transcriptomics, and topological data analysis. You should be comfortable designing problems around cell-type annotation, pseudotime ordering, multi-omic integration, spatial variable gene identification, and persistence-based analysis pipelines. This is our highest-throughput domain and where we're scaling first. — _Experience with other specialized software in this domain will also be considered._ — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $100 / hourOpen / Referral verified
Finance / Bay Area, CA

Finance Domain Expert — AI Training & Evaluation

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — We are hiring a senior finance domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real financial work. — Your finance expertise is the substance of this role. You will review the quality of finance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. — Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. — 2. Key Responsibilities • Data QA and reviews: Vet the quality of finance knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, flawed assumptions, and answers that read well but would not survive professional scrutiny. • Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to financial problems, and define new finance tasks that reflect how the work is actually done in practice. • Benchmarks and domain depth: Design challenging finance tasks and evaluation sets, and help build finance-specific skills and tools together with the research team. • Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit financial judgment into explicit, teachable criteria. — 3. Core Qualifications • Experience: 5+ years of substantive, dedicated professional finance experience at a recognized institution — for example an investment bank, asset manager, private equity or credit fund, Big Four firm, a large corporate finance function, or a financial regulator. Generalist roles that only touch finance peripherally do not count. • Domain depth: Genuine specialization in at least one core finance discipline, for example corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, or accounting and audit. • Seniority: Clear progression to a senior individual-contributor or leadership level — for example Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO — with real ownership of analysis and decisions. • Education and credentials: An advanced degree from a strong program (MBA, MS, or PhD in finance, economics, accounting, or a quantitative field) and/or a recognized professional credential such as CFA, CPA, FRM, or an actuarial designation. Strongly preferred. • AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. • Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. • Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. • Excellent written communication, and the ability to give precise, well-structured written feedback. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $100 / hourOpen / Referral verified
Legal / Bay Area, CA

Legal Domain Expert — AI Training & Evaluation

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — We are hiring a senior legal domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real legal work. — Your legal expertise is the substance of this role. You will review the quality of legal knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. — Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. — 2. Key Responsibilities • Data QA and reviews: Vet the quality of legal knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, and answers that read well but would not survive professional scrutiny. • Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to legal problems, and define new legal tasks that reflect how the work is actually done in practice. • Benchmarks and domain depth: Design challenging legal tasks and evaluation sets, and help build legal-specific skills and tools together with the research team. • Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit legal judgment into explicit, teachable criteria. — 3. Core Qualifications • Education: Juris Doctor (JD) from an accredited law school; a highly ranked school is strongly preferred. • Experience: 5+ years of substantive post-qualification legal practice at a reputable institution — an established law firm, a corporate legal department, a regulatory body, or a court. Internships and clerkships alone do not count. • Domain depth: Genuine specialization in at least one substantive practice area, for example corporate and transactional, litigation and dispute resolution, regulatory and compliance, intellectual property, employment and labor, or tax. • Seniority: Clear progression to a senior level — partner, of counsel, counsel, senior associate, senior in-house counsel, or general counsel — with real ownership of matters. • Licensure: Active admission to at least one U.S. state bar, in good standing. • AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one. • Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months. • Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost; relocation assistance is not provided. • Excellent written communication, and the ability to give precise, well-structured written feedback. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $100 / hourOpen / Referral verified
Language / Remote

Voice Actor: CX Agent Voice Cloning (UK English)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking UK-based native English speakers with a neutral, standard UK English accent to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native English speaker with a neutral, standard UK English accent, currently based in the United Kingdom • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Language / Remote

Voice Actor: CX Agent Voice Cloning (Australian English)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Australia-based native English speakers with authentic Australian accents to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native English speaker with an authentic Australian accent, currently based in Australia • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (German)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Germany-based native German speakers to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native German speaker currently based in Germany • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Finance / Remote

Revenue-cycle analytics / decision-support / RCM reporting leader

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Revenue Cycle Analytics and Decision-Support leaders — including RCM reporting managers and analytics directors — to evaluate AI tools designed to transform revenue cycle intelligence and financial decision-making. Your expertise in RCM data analytics, financial reporting, and decision-support will directly shape AI systems that deliver actionable insights across the full revenue cycle. — Responsibilities • Lead revenue cycle analytics, reporting, and decision-support functions to drive data-driven performance improvement across RCM operations. • Evaluate AI-generated revenue cycle analytics outputs, KPI dashboards, and financial modeling recommendations for accuracy and completeness. • Develop and maintain revenue cycle reporting frameworks covering patient access, coding, billing, denials, A/R, and collections performance. • Build and interpret dashboards, scorecards, and trend analyses to support operational and executive decision-making. • Conduct root cause analyses of revenue cycle performance variances and develop data-driven improvement recommendations. • Collaborate with finance, IT, and operational revenue cycle teams to align analytics infrastructure with strategic priorities. • Manage RCM data governance, including data definitions, data quality standards, and reporting consistency. • Support revenue cycle forecasting, budget modelling, and net revenue realisation analysis. • Annotate AI outputs and provide structured analytical feedback to support AI training datasets. — Requirements • 5+ years of experience in revenue cycle analytics, RCM reporting, or healthcare financial decision-support, with at least 2 years in a leadership role. • Deep knowledge of revenue cycle KPIs and financial metrics across patient access, coding, billing, denials, and collections domains. • Proficiency with healthcare analytics platforms, BI tools (Tableau, Power BI, or equivalent), and SQL-based data analysis. • Experience with EHR-integrated analytics platforms and RCM reporting systems. • Strong financial modelling and data interpretation skills with the ability to translate complex data into actionable recommendations. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify data quality issues and analytical errors in AI-generated outputs. — Preferred Qualifications • HFMA CRCR, CHFP, or healthcare analytics certification. • Experience with predictive analytics, revenue cycle forecasting, and net revenue modelling. • Background in health system, large physician enterprise, or RCM outsourcing analytics operations. • Familiarity with AI tools and comfort evaluating AI-generated analytics content. • Experience implementing enterprise-wide revenue cycle analytics infrastructure or BI platform migrations. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in revenue cycle analytics and decision-support. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$100 / hourOpen / Referral verified
Language / Remote

Market research / competitive intelligence Evaluator

About the role — We are hiring expert Evaluators in Market research / competitive intelligence to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs. — This is a remote, hourly engagement. — Requirements (must have) — 1. 5+ years of relevant professional experience in Market research / competitive intelligence. 2. Native or professional fluency in English. 3. Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint). — Preferred (nice to have) • Advanced degree (Master's or higher) from a reputable institution. — What you'll do • Evaluate AI-generated artifacts against domain-specific quality rubrics. • Identify factual, aesthetic, and presentation errors. • Provide clear, structured written feedback.

$80 - $120 / hourOpen / Referral verified
Finance / Remote

Applied Economics & Finance Benchmark Specialist

Role Overview — We are seeking expert economists and finance professionals to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core economics and finance domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Economics & Finance Domains Covered — Algorithmic Trading & Market Microstructure, Macroprudential Policy, Behavioral Finance & Experimental Economics, Urban Economics, Tokenomics & Decentralized Finance. — Key Responsibilities • Author original economics and finance questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Economics, Finance, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level economic theory, quantitative methods, and financial modeling • Experience with academic research, CFA/CPA certification, or financial industry expertise is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$77 - $98 / hourOpen / Referral verified
Business / Remote

Applied Business & Commerce Benchmark Specialist

Role Overview — We are seeking business and commerce experts to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core business domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of business expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Business & Commerce Domains Covered — Logistics / Supply Chain Management, Operations Research Analysis, Sustainability, Management Analysis, Product Management and Strategy, Digital Marketing. — Key Responsibilities • Author original business questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD, DBA, or doctoral candidate in Business Administration, Management, Marketing, or a closely related field • MBA or Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level business strategy, organizational theory, and quantitative methods • Industry leadership experience or research publications in business fields is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$77 - $98 / hourOpen / Referral verified
Finance / Remote

Patient Financial Services Leader

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Patient Collections and Patient Financial Services leaders to evaluate AI tools designed to improve self-pay revenue recovery and patient financial engagement. Your expertise in self-pay collections, payment plan administration, and patient financial advocacy will directly inform AI systems that optimise patient payment experiences while maximising revenue recovery. — Responsibilities • Lead patient collections and self-pay operations including early-out collections, bad debt management, and patient payment plan administration. • Evaluate AI-generated patient financial communication drafts, payment plan recommendations, and self-pay resolution strategies for accuracy and compliance. • Develop and implement self-pay collection strategies across the revenue cycle, including pre-service, point-of-service, and post-service collections. • Manage patient payment plan enrollment, monitoring, and compliance processes. • Coordinate with financial counselling, billing, and bad debt recovery teams to optimise self-pay revenue capture. • Monitor self-pay KPIs including self-pay collection rates, payment plan conversion rates, bad debt write-off rates, and patient satisfaction scores. • Ensure compliance with FDCPA, HIPAA, state collections laws, and internal patient financial assistance policies. • Oversee relationships with collection agencies and early-out vendors as applicable. • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in patient collections, self-pay revenue cycle, or patient financial services, with at least 2 years in a leadership role. • Deep knowledge of self-pay collection workflows, FDCPA compliance, and patient financial engagement best practices. • Experience managing early-out and bad debt collection programs, including vendor oversight. • Familiarity with propensity-to-pay tools and patient payment technology platforms. • Proficiency with EHR systems and patient collections/billing platforms. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to evaluate collections strategies and identify issues in AI-generated patient communication content. — Preferred Qualifications • CRCR, CHAM, or similar revenue cycle certification. • Experience with digital patient payment platforms and text/email-based collections outreach. • Background in hospital, health system, or physician group patient financial services. • Familiarity with AI tools and comfort evaluating AI-generated patient financial communication content. • Experience implementing propensity-to-pay analytics to prioritise collection efforts. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in patient financial services and the revenue cycle. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$92 / hourOpen / Referral verified
Code / Remote

Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)

Computational Statistics and Applied Mathematics Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized statistical, mathematical, or scientific software packages. Some will ask the AI to compute reproducible numerical answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We welcome statisticians and applied mathematicians working across a wide range of specializations. You do not need experience with every package listed below; strong expertise with one or more specialized computational packages is sufficient. — We're especially interested in experts with deep, hands-on experience using one or more specialized R or Python packages, including examples such as: • Bayesian statistics: rstan, cmdstanr, rjags, runjags, brms, rstanarm, nimble, bayesplot, posterior, loo • Item response theory and psychometrics: TAM, sirt, mirt, mirtCAT, eRm, ltm, lordif, psych • Structural equation and latent variable modelling: lavaan, semTools, OpenMx • Topological data analysis: TDAstats, TDApplied • Differential equations and dynamical systems: deSolve, pomp, FME • State-space and time-series modelling: KFAS, MARSS, forecast, vars, urca, rugarch, rmgarch, tseries, timeSeries • Survival and event-history analysis: survival, flexsurv, timereg, mets • Mixed, additive, and advanced regression models: lme4, nlme, mgcv, glmmTMB, TMB, quantreg, scam • Spatial statistics and geostatistics: spatstat, spatstat.geom, spatstat.linnet, spdep, gstat, geoR, spBayes, sf, stars, terra, lwgeom • Statistical learning and specialized modelling: mclust, kernlab, earth, pROC, multcomp, sandwich, effectsize, irr • Optimization and mathematical programming: lpSolve, linprog, nloptr, DEoptimR, SQUAREM • Numerical linear algebra and high-precision computation: RSpectra, Rmpfr, gmp, pracma • Computational geometry: geometry, deldir, polyclip — Other similar specialized statistical, mathematical, scientific, or domain-specific R packages will also be considered. Other similar specialized statistical or mathematical Python/Scilab packages are also welcome, such as statsmodels and PyMC. — Numerical computing and scientific modelling in Matlab/Scilab are also wanted. — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD required; PhD preferred, or MS with 10+ years of relevant experience) in statistics, applied mathematics, or a closely related quantitative field, with real hands-on experience using specialized computational packages — not just theoretical knowledge. — You have written code using one or more specialized statistical, mathematical, or scientific packages to solve actual research or professional problems, and you understand where these tools break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. Deep expertise with one or more specialized computational packages is more important than familiarity with the entire package list above. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in statistics, applied mathematics, a relevant STEM field, or equivalent research experience • Proven proficiency with at least one specialized statistical, mathematical, or scientific software package, demonstrated through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple computational domains or specialized software packages • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $90 / hourOpen / Referral verified
Code / United States Remote

LLM Red Team Specialist — Failure Modes & Edge Cases

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and needs specialists who can find where those models break. Working in a red-teaming setup, you will design and probe complex, multi-step tasks to expose vulnerabilities, edge cases, and failure modes in frontier AI systems — the places where a model looks competent but is quietly wrong. — Each task represents one to two days of continuous, focused effort and spans multiple technical skills: coding, experimentation, and careful analysis. You will work in a tight feedback loop with the lab's researchers, turning the failure modes you find into stronger benchmark tasks. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Probe models: Explore how frontier AI models behave on coding, ML, and analysis tasks, and find the spots where they quietly get things wrong. • Design challenges: Turn the weaknesses you find into well-crafted tasks that are hard for models but fair to grade. • Document findings: Write up what you discover clearly, with evidence and steps others can reproduce. • Strengthen tasks: Team up with task authors to close loopholes, shortcuts, and grading gaps. • Work as a team: Share insights with researchers and fellow experts so the benchmark keeps getting better. — 3. Core Qualifications • MSc or PhD in a STEM field, or equivalent practical experience in a research-heavy domain requiring data analysis and coding. • 1+ years of experience in a research, research-engineering, security, or AI-evaluation role. • Demonstrated ability to identify vulnerabilities, edge cases, or failure modes in LLMs or ML systems — through red teaming, adversarial testing, security research, or rigorous model evaluation. • Working proficiency in Python and Git, with the ability to script your own probes and analyses. • Strong familiarity with LLM capabilities, limitations, and evaluation techniques. • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in finding what others missed, strong written communication, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified
Code / United States Remote

QA/Test Engineer

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models, and complex multi-step tasks are only useful if they are airtight: unambiguous, correctly graded, and robust to shortcuts. We are seeking experienced QA and test engineers to be the quality backbone of this benchmark — designing the test cases and review processes that guarantee every task measures what it claims to measure. — Each task under review represents one to two days of expert effort and spans multiple technical skills, so quality review here means genuinely understanding the task: running it, probing its edge cases, and debugging its environment. You will work in a tight feedback loop with the lab's researchers and task authors. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design checks: Create test cases that confirm each task works as intended — including the tricky edge cases. • Review tasks: Give tasks and reference solutions a careful read before they're finalized, catching ambiguity and gaps early. • Debug: Roll up your sleeves in Python when a task or its checks don't behave the way they should. • Shape the process: Help build simple, repeatable quality checklists, and share feedback authors can act on right away. • Protect the results: Watch for shortcuts and grading gaps in AI agent runs so benchmark scores stay trustworthy. — 3. Core Qualifications • MSc or PhD in a STEM field, or equivalent practical experience in a research-heavy or engineering-heavy domain. • 1+ years of experience in test engineering, quality assurance, or a research/software engineering role with strong quality ownership. • Demonstrated skill designing test cases and quality-review processes, and debugging complex systems end-to-end. • Working proficiency in Python and Git, and comfort navigating unfamiliar codebases and environments. • Exceptional attention to detail and clear written documentation habits. • Past experience in AI training, model evaluation, or quality review of AI-generated work is preferred. • A perfectionist mindset: creativity in finding what others missed, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified
Medical / United States Remote

STEM Researcher — Computational Fields

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and is recruiting researchers from computational STEM fields — as well as computationally heavy social sciences and humanities — to bring working-researcher rigor to benchmark design. You will translate the scientific method — experimental design, hypothesis testing, and rigorous evaluation — into complex, multi-step tasks that today's best models cannot yet complete reliably. — Each task represents one to two days of continuous, focused effort and spans multiple skills: study design, implementation in code, data analysis, and careful written conclusions. You will work in a tight feedback loop with the lab's researchers, surfacing the kinds of methodological mistakes a working researcher would catch immediately. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design tasks: Turn the research skills you use every day — designing studies, testing hypotheses, evaluating results — into engaging, multi-step tasks. • Author solutions: Work through your own tasks in Python and notebooks, at the level of rigor you'd expect from a careful colleague. • Define what good looks like: Help spell out what separates sound scientific reasoning from reasoning that merely sounds right. • Evaluate models: Review model attempts at your tasks and flag the mistakes a working researcher would spot right away. • Work as a team: Compare notes with researchers and fellow experts to keep evaluations consistent and accurate. — 3. Core Qualifications • MSc or PhD in a STEM field, or in a computational social-science or humanities discipline, or equivalent practical experience in a research-heavy domain requiring data analysis and coding. • 1+ years of experience in an active research role (academia, industry, or national labs). • Your own research involves significant computational work: Python-based analysis, simulation, modeling, or data pipelines. • Strong grounding in experimental design, hypothesis testing, and rigorous evaluation of results. • Working familiarity with Git, IDEs, and notebook environments (Jupyter or Colab). • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified
Math / United States Remote

Data Science & Quantitative Analysis Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and needs experienced data scientists and quantitative analysts to act as ground-truth experts. You will design complex analysis tasks that simulate real research work — for example, comparing two anomaly-detection algorithms on a dataset, calculating correlations, performing manual spot checks, and summarizing the findings in a notebook clear enough to drive a researcher's decision. — Each task represents one to two days of continuous, focused effort and spans multiple skills: data cleaning, statistical analysis, interpretation, and clear reporting. You will work in a tight feedback loop with the lab's researchers, verifying exactly where and why frontier models fall short on rigorous analytical work. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design tasks: Create realistic data-analysis challenges — cleaning messy data, comparing methods, interpreting results — based on the kind of analysis you do every day. • Author notebooks: Work through your own tasks in Jupyter or Colab, producing clear, reproducible reference analyses. • Compare methods: Build tasks that ask for a fair comparison between analytical approaches, backed by spot checks and a clear recommendation. • Evaluate models: Review how models handle your tasks, and check whether their statistics and conclusions actually hold up. • Work as a team: Compare notes with researchers and fellow experts to keep evaluations consistent and accurate. — 3. Core Qualifications • MSc or PhD in statistics, data science, or another quantitative STEM field, or equivalent practical experience in a research-heavy analytical domain. • 1+ years of experience in a research, research-engineering, or heavy data-analysis role. • Deep hands-on data-analysis skills: data cleaning, statistical correlation, hypothesis testing, and careful interpretation of results. • Proficiency with Jupyter Notebooks or Google Colab for analysis and reporting. • Working proficiency in Python (pandas, NumPy, or similar) and Git. • Strong ability to communicate analytical findings in writing for decision-makers. • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in task design, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified
Code / United States Remote

Machine Learning Engineer — Model Evaluation & Experimentation

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and needs experienced machine learning practitioners to act as ground-truth experts for model evaluation and experimentation. You will author complex, multi-step ML tasks — for example, taking a vague research idea like "modify how an RL reward is computed," implementing the change, running the training experiment, and analyzing the results to determine success — and verify exactly where frontier models fall short. — Each task represents one to two days of continuous, focused effort and spans multiple technical skills: implementation, experiment setup and execution, and rigorous analysis. You will work in a tight feedback loop with the lab's researchers. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design tasks: Turn real ML research ideas — like tweaking how an RL reward is computed — into well-defined, multi-step tasks. • Run experiments: Implement changes, run training experiments, and analyze the results to show what a correct solution looks like. • Explore RL ideas: Build some of your tasks around reinforcement-learning basics such as reward functions and training behavior. • Evaluate models: See how frontier models handle your tasks, and note where and why they fall short. • Work as a team: Compare notes with researchers and fellow experts so tasks stay consistent, rigorous, and fair. — 3. Core Qualifications • MSc or PhD in machine learning, computer science, or another STEM field, or equivalent practical experience in a research-heavy domain. • 1+ years of experience in a research or research-engineering role. • Hands-on experience training and evaluating ML models and running experiments end-to-end — experiment setup, execution, and analysis — not just using ML libraries superficially. • Strong familiarity with large language models: their capabilities, limitations, and evaluation techniques. • Working proficiency in Python and Git, with comfort in both scripting and notebook environments. • Basic understanding of reinforcement learning (reward functions, policy training) is preferred. • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified
Code / United States Remote

Software Engineering Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and needs experienced software engineers to act as task curators. You will design, implement, and review complex, multi-step engineering tasks that simulate the real-world challenges research engineers face — realistic, genuinely hard problems that today's best AI coding agents cannot yet solve reliably. — Each task represents one to two days of continuous, focused effort and spans multiple technical skills: Python implementation, environment and tooling setup, debugging, and clear documentation. You will work in a tight feedback loop with the lab's researchers, verifying exactly where and why frontier models fail on your tasks. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design tasks: Create realistic, multi-step software engineering challenges — the kind of work you'd actually do on the job — that push the limits of today's best AI coding agents. • Build reference solutions: Solve your own tasks in Python, with the setup and checks needed so each task has a clear, verifiable answer. • Work with AI tools: Use AI coding assistants as part of your everyday workflow, and observe where they help and where they fall short. • Review and refine: Look over tasks built by fellow experts and share feedback on clarity, correctness, and difficulty. • Learn from failures: See how AI agents attempted your tasks and help the research team understand what tripped them up. — 3. Core Qualifications • MSc or PhD in computer science or another STEM field, or equivalent practical experience in a research-heavy domain requiring significant coding and data analysis. • 1+ years of experience in a research, research-engineering, or software engineering role. • Strong hands-on Python scripting and debugging skills, with clean-code habits and attention to readability. • Everyday fluency with version control (Git), IDEs, and standard software development workflows. • Experience with AI coding assistants, prompt engineering, or agent workflows is preferred. • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified
STEM / US Remote

Architecture Expert

Join a growing network of industry experts supporting AI research and development. — Overview — We're building a select group of experienced architects to help evaluate and improve how AI systems understand and reason about architecture topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in architecture contexts. — This is a flexible, part-time engagement — approximately 10 hours per week, fully remote, with the opportunity to continue and grow over time. — What You'll Do • Review and evaluate written content and AI-generated responses in your area of architectural expertise for accuracy and quality. • Answer questions and provide clear, well-reasoned feedback based on your professional experience. • Help identify useful reference material relevant to your field. • Share insight into how architects actually work — the tools, workflows, and standards you rely on day to day. • Collaborate with a small group of other subject-matter experts across different fields. — What We're Looking For • Degree-qualified architect holding a professional architecture license in the US. • 2+ years of professional architecture experience, ideally across more than one project type (residential, commercial, institutional). • Familiarity with building codes and standards (e.g. IBC) and common tools (Revit, AutoCAD, BIM, or similar). • A portfolio of built or realized work — not purely academic or conceptual projects — is a plus. • Comfortable using everyday AI tools (e.g. ChatGPT or similar). • Based in the United States. • Professional working English. • Able to commit reliably to about 10 hours per week. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified
Code / US Remote

Civil Engineering Expert

Join a growing network of industry experts supporting AI research and development. — Overview — We're building a select group of experienced civil engineers to help evaluate and improve how AI systems understand and reason about civil engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in civil engineering contexts. — This is a flexible, part-time engagement — approximately 10 hours per week, fully remote, with the opportunity to continue and grow over time. — What You'll Do • Review and evaluate written content and AI-generated responses in your area of civil engineering expertise for accuracy and quality. • Answer questions and provide clear, well-reasoned feedback based on your professional experience. • Help identify useful reference material relevant to your field. • Share insight into how civil engineers actually work — the tools, workflows, and standards you rely on day to day. • Collaborate with a small group of other subject-matter experts across different fields. — What We're Looking For • Degree-qualified civil engineer holding a Professional Engineer (PE) license in the US. • 2+ years of professional civil engineering experience, ideally across more than one area (structural, geotechnical, transportation, water resources). • Familiarity with relevant codes and standards (e.g. ASCE, IBC, AASHTO) and common engineering tools (AutoCAD Civil 3D, STAAD, Revit, or similar). • Some experience writing technical specs, design reports, or training material is a plus. • Comfortable using everyday AI tools (e.g. ChatGPT or similar). • Based in the United States. • Professional working English. • Able to commit reliably to about 10 hours per week. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified
Code / US Remote

Chemical Engineering Expert

Join a growing network of industry experts supporting AI research and development. — Overview — We're building a select group of experienced chemical engineers to help evaluate and improve how AI systems understand and reason about chemical engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in chemical engineering contexts. — This is a flexible, part-time engagement — approximately 10 hours per week, fully remote, with the opportunity to continue and grow over time. — What You'll Do • Review and evaluate written content and AI-generated responses in your area of chemical engineering expertise for accuracy and quality. • Answer questions and provide clear, well-reasoned feedback based on your professional experience. • Help identify useful reference material relevant to your field. • Share insight into how chemical engineers actually work — the tools, workflows, and standards you rely on day to day. • Collaborate with a small group of other subject-matter experts across different fields. — What We're Looking For • Degree-qualified chemical engineer holding a Professional Engineer (PE) license in the US. • 2+ years of professional chemical engineering experience, ideally across more than one area (process design, process safety, plant operations). • Familiarity with process safety standards (e.g. OSHA PSM, API) and process simulation tools (Aspen, MATLAB, or similar). • Some experience writing process documentation, SOPs, or technical training material is a plus. • Comfortable using everyday AI tools (e.g. ChatGPT or similar). • Based in the United States. • Professional working English. • Able to commit reliably to about 10 hours per week. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified
Code / US Remote

Mechanical Engineering Expert

Join a growing network of industry experts supporting AI research and development. — Overview — We're building a select group of experienced mechanical engineers to help evaluate and improve how AI systems understand and reason about mechanical engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in mechanical engineering contexts. — This is a flexible, part-time engagement — approximately 10 hours per week, fully remote, with the opportunity to continue and grow over time. — What You'll Do • Review and evaluate written content and AI-generated responses in your area of mechanical engineering expertise for accuracy and quality. • Answer questions and provide clear, well-reasoned feedback based on your professional experience. • Help identify useful reference material relevant to your field. • Share insight into how mechanical engineers actually work — the tools, workflows, and standards you rely on day to day. • Collaborate with a small group of other subject-matter experts across different fields. — What We're Looking For • Degree-qualified mechanical engineer holding a Professional Engineer (PE) license in the US. • 2+ years of professional mechanical engineering experience, ideally across more than one area (thermodynamics/HVAC, structural/mechanical design, manufacturing). • Familiarity with relevant codes and standards (e.g. ASME) and common engineering tools (SolidWorks, ANSYS, AutoCAD, or similar). • Some experience writing technical documentation, specs, or training material is a plus. • Comfortable using everyday AI tools (e.g. ChatGPT or similar). • Based in the United States. • Professional working English. • Able to commit reliably to about 10 hours per week. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified
Code / US Remote

Electrical Engineering Expert

Join a growing network of industry experts supporting AI research and development. — Overview — We're building a select group of experienced electrical engineers to help evaluate and improve how AI systems understand and reason about electrical engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in electrical engineering contexts. — This is a flexible, part-time engagement — approximately 10 hours per week, fully remote, with the opportunity to continue and grow over time. — What You'll Do • Review and evaluate written content and AI-generated responses in your area of electrical engineering expertise for accuracy and quality. • Answer questions and provide clear, well-reasoned feedback based on your professional experience. • Help identify useful reference material relevant to your field. • Share insight into how electrical engineers actually work — the tools, workflows, and standards you rely on day to day. • Collaborate with a small group of other subject-matter experts across different fields. — What We're Looking For • Degree-qualified electrical engineer holding a Professional Engineer (PE) license in the US. • 2+ years of professional electrical engineering experience, ideally across more than one area (power systems, controls, electronics, signal processing). • Familiarity with relevant codes and standards (e.g. NEC, IEEE) and common engineering tools (MATLAB, AutoCAD Electrical, SPICE, or similar). • Some experience writing technical documentation, specs, or training material is a plus. • Comfortable using everyday AI tools (e.g. ChatGPT or similar). • Based in the United States. • Professional working English. • Able to commit reliably to about 10 hours per week. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified
Finance / United States Remote

Finance Specialist

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Finance subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world financial judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in financial reasoning, analysis, and decision-making. • Design challenging, domain-relevant finance tasks and write accurate, well-reasoned solutions grounded in real financial practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to finance tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 8+ years of dedicated professional experience in finance (e.g., investment banking, asset management, corporate finance, financial advisory) at a recognized, top-tier organization (e.g., Goldman Sachs, JPMorgan, Morgan Stanley, BlackRock, Fidelity, Deloitte, PwC, EY, KPMG, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application. • Demonstrable career progression (e.g., Analyst → Associate → VP/Director). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified
Legal / Remote

Public Interest Law (Civil Law / Environmental Law)

Role Overview • Mercor is seeking senior public interest law professionals to build evaluation tasks for AI systems operating in civil rights, environmental, and public advocacy contexts. • The workflows are calibrated to the societal stakes, regulatory scope, and community impact of major public interest litigation and advocacy campaigns. • This role builds worlds on two tracks: a US track (federal civil rights statutes, NEPA, Clean Air Act and Clean Water Act) and an International track (international human rights law, EU environmental directives). Experts qualified in either or both tracks are encouraged to apply. • Contributors design public interest law scenarios, draft reference outputs, and write rubrics that capture how senior public interest attorneys think. — Key Responsibilities • Construct scenarios spanning civil rights litigation, environmental compliance and enforcement, and community advocacy or policy reform processes. • Build tasks across civil rights and constitutional law, environmental law and regulation, housing and consumer protection, immigration and asylum, and government accountability. • Develop scenarios involving tools such as legal research platforms, case management systems used by legal aid organizations and nonprofits, and regulatory filing systems (e.g., EPA dockets). • Apply public interest law methodologies (constitutional analysis, regulatory compliance review, impact litigation strategy) to the standards track a world targets (US: federal civil rights statutes, NEPA, environmental statutes; International: human rights treaties, EU directives), and produce reference legal briefs, regulatory comments, and advocacy memoranda. • Author rubrics that distinguish authentic public interest legal judgment from generic law school or bar exam-level recall. — Ideal Qualifications • 5+ years working as a public interest attorney at a legal aid organization, advocacy nonprofit, or government agency (ACLU, Earthjustice, NRDC, Legal Aid Society, or a state attorney general's office). • Direct ownership of impact litigation, regulatory advocacy, or policy reform initiatives. • Fluency in public interest legal tooling, plus understanding of how regulatory processes and legislative advocacy actually work. • A recognized professional credential is strongly preferred (JD with bar admission, or an international equivalent); prior rubric, training, or policy authorship is a plus.

$90 - $100 / hourOpen / Referral verified
Medical / Remote

Medical Revenue Manager

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Charge Capture, Charge Integrity, and Revenue Integrity professionals to evaluate AI tools designed to identify revenue leakage, improve charge accuracy, and ensure coding and billing compliance. Your expertise in charge-capture workflows, CDM management, and revenue-integrity analysis will help us build AI systems that optimise revenue performance and reduce compliance risk. — Responsibilities • Oversee charge capture, charge integrity, and revenue integrity functions to ensure accurate and compliant charge submission. • Evaluate AI-generated charge review outputs, coding recommendations, and revenue integrity alerts for accuracy and compliance. • Conduct charge audits to identify missed charges, duplicate charges, and charge capture errors across clinical departments. • Manage and maintain the charge description master (CDM), ensuring accuracy of charge codes, revenue codes, and pricing. • Analyse charge patterns to identify revenue leakage opportunities and implement corrective action plans. • Collaborate with clinical, coding, and billing teams to resolve charge capture discrepancies. • Monitor KPIs including charge lag times, charge capture accuracy rates, and revenue integrity findings. • Ensure compliance with CMS billing guidelines, OIG work plan priorities, and payer-specific requirements. • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in charge capture, charge integrity, revenue integrity, or healthcare compliance. • Deep knowledge of CDM management, revenue codes, charge capture workflows, and billing compliance. • Strong understanding of CMS billing guidelines, Medicare Part A/B billing rules, and OIG compliance requirements. • Proficiency with charge capture systems, EHR platforms, and revenue integrity tools. • Experience conducting charge audits and developing corrective action plans. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify billing errors and compliance risks in AI-generated outputs. — Preferred Qualifications • CPC, CCS, CHFP, or CRCS credential. • Experience with 340B drug program charge capture and compliance. • Background in hospital, health system, or physician group revenue integrity operations. • Familiarity with AI tools and comfort evaluating AI-generated charge and billing content. • Experience with revenue integrity software platforms and analytics tools. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in healthcare revenue integrity. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$88 / hourOpen / Referral verified
STEM / Remote

Biology Research Scientist (BA, MS, PhD's)

About the Role — Mercor is partnering with a leading AI research organization to verify protein target assignments in large-scale bioactivity databases (ChEMBL, BindingDB). You will read primary literature, apply scientific judgment, and determine whether UniProt IDs accurately reflect the proteins being studied — work that directly feeds AI drug discovery pipelines. — What You'll Do • Access primary sources (papers, patents) to verify protein target assignments against UniProt records • Flag and classify target assignment errors using a structured taxonomy • Propose correct UniProt accessions where assignments are wrong • Write concise, evidence-grounded notes explaining your reasoning — Requirements • BA/BS with 5+ years, MS with 2+ years, or PhD with industry or drug discovery research experience, in pharmacology, biochemistry, molecular biology, or chemical biology at a biotech, pharma, or CRO • Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD) • Currently bench-active in a research, scientist, or associate scientist role • Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies — Nice to Have • Direct experience with ChEMBL, BindingDB, or PubChem • Selectivity profiling or counterscreening experience • Familiarity with agonist/antagonist vs. activator/inhibitor distinctions — Role Details • 10–20 hrs/week | Remote | Immediate start • 1–2 month minimum, extension likely • U.S. only

$50 - $70 / hourOpen / Referral verified
STEM / Remote

Generalist Expert

Overview — In this role, you will evaluate AI-generated responses and provide structured written feedback. This is a great opportunity for sharp, analytical thinkers to contribute to high-impact AI research projects. — Basic Qualifications • Bachelor's degree from a top-500 globally ranked university preferred • Strong analytical and written communication skills • Ability to work independently and follow detailed task guidelines — Required Skills • Strong critical reading skills with the ability to identify nuance, implicit meaning, and gaps in reasoning • Ability to write clear, precise, and well-evidenced written rationales that go beyond surface-level observations • Consistent and honest judgment, including the ability to give critical assessments when warranted • Strict attention to detail and accurate application of structured evaluation guidelines • Ability to work entirely without AI writing tools — Eligibility • Native English fluency required

$70 / hourOpen / Referral verified
Code / Remote

Computational Electrical Engineering & RF/Circuit Design Expert

Electrical Engineering & RF/Circuit Design Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience in: — Electrical Engineering & RF/Circuit Design — working with scikit-rf for RF and microwave network analysis, S-parameter characterization, and transmission-line modeling, or ngspice for circuit simulation, operating point analysis, and frequency response characterization. Candidates should be comfortable designing problems that involve recovering circuit parameters from measurement data. — _Experience with other specialized software in this domain will also be considered._ — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $85 / hourOpen / Referral verified
Code / Remote

Computational Structural & Mechanical Engineering Expert

Computational Structural & Mechanical Engineering Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard computational scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience with open-source, domain-specific computational tools such as FEniCSx/DOLFINx, scikit-fem, OpenFOAM, deal.II, MFEM, MOOSE, CalculiX, Elmer FEM, Code\_Aster, SfePy, FiPy, Devito, Cantera, CoolProp, Pyomo, or SimPy, for finite-element analysis, computational mechanics, structural analysis, elasticity, CFD, multiphysics simulation, heat and mass transfer, thermodynamics, combustion, fluid mechanics, HVAC/thermal systems, manufacturing simulation, optimization, or thermophysical-property calculations. — Relevant work may include beam, plate, and shell analysis; linear or nonlinear elasticity; finite-element and variational formulations; mesh refinement and convergence studies; continuum and solid mechanics; computational fluid dynamics; coupled multiphysics problems; thermal-fluid simulation; structural or system optimization; reliability analysis; and related numerical engineering workflows. — Experience with underlying theories and numerical methods — such as Euler–Bernoulli and Timoshenko beam theory, continuum mechanics, finite-element methods, Galerkin/variational methods, finite-volume methods, PDE discretization, constitutive modeling, thermodynamics, numerical linear algebra, and nonlinear solution methods — is valuable. — Experience with other open-source computational structural or mechanical engineering software will also be considered, including scientific codes and solver frameworks built with Python, C, C++, or Fortran. — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $85 / hourOpen / Referral verified
STEM / Remote

Computational Seismology & Geophysics Expert

Computational Seismology & Geophysics Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience in: — Computational Seismology & Geophysics — hands-on experience with open-source, domain-specific computational tools such as SPECFEM, ObsPy, Pyrocko, SimPEG, pyGIMLi, SeisBench, EQcorrscan, or Fatiando a Terra, for seismic wave propagation and numerical simulation, synthetic seismogram generation, full-waveform inversion (FWI), seismic imaging, travel-time tomography, moment tensor inversion, event detection/location, or related computational geophysics workflows. — Experience with other open-source computational seismology or geophysics software will also be considered, including tools and scientific codes built with Python, C, C++, or Fortran. — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $85 / hourOpen / Referral verified
STEM / Remote

Computational Pharmacokinetics & Systems Biology Expert

Computational Pharmacokinetics & Systems Biology Expert — About the Project — We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real scientific software to do research-level work — running simulations, interpreting results, designing experiments, and uncovering hidden information from data. — This isn't a typical data-labeling job. You'll design original, graduate-level problems based on real scientific workflows, test them against cutting-edge AI models, and fine-tune them until the difficulty is just right. — What You'll Do — You'll create problems that require skilled use of specialized scientific software. Some will ask the AI to compute exact answers from a fully defined setup — testing whether it can correctly carry out complex, multi-step workflows. Others will be harder: the AI must plan a series of queries or experiments to uncover information that isn't directly visible, which means thinking strategically about what to measure, how to read partial results, and how to narrow down the possibilities efficiently. — Each problem goes through a testing loop against state-of-the-art AI models, and you'll refine it until it hits the target difficulty. — Domains & Tools We're Hiring For — We're especially interested in experts with deep, hands-on experience in: — Pharmacokinetics & Systems Biology — working with libRoadRunner, Tellurium, or SBML-based tools for compartmental PK/PD modeling, enzyme kinetics, or systems biology simulations. — _Experience with other specialized software in this domain will also be considered._ — What Makes a Strong Candidate — You have graduate-level expertise (MS or PhD preferred) in the domain above, with real hands-on experience using these tools — not just theoretical knowledge. You've written code using these libraries to solve actual research problems, and you understand where they break, what their edge cases are, and what makes a problem genuinely hard rather than just complicated. — Beyond domain expertise, the best candidates think like puzzle designers: building problems where the challenge comes from smart reasoning rather than raw computation, where several approaches seem plausible but only careful analysis reveals the right one, and where surface-level pattern matching won't get you to the answer. — Requirements • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one of the listed scientific software libraries, shown through research publications, open-source contributions, or professional work • Strong Python skills — you'll be writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week — Nice to Have • Experience across multiple listed domains or tools • Familiarity with benchmark or evaluation design • Background in scientific teaching or exam/problem-set design • Experience with computational reproducibility and containerized environments

$70 - $85 / hourOpen / Referral verified
Finance / Remote

Payment-posting & Reconciliation Manager

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Cash Posting and Payment Reconciliation Managers to evaluate AI tools designed to automate electronic remittance processing, payment posting, and cash reconciliation workflows. Your expertise in ERA processing, EOB interpretation, and payment reconciliation will directly inform AI systems that improve cash posting accuracy and accelerate revenue cycle close. — Responsibilities • Oversee cash posting and payment reconciliation operations, including electronic remittance advice (ERA/835) processing, manual EOB posting, and lockbox reconciliation. • Evaluate AI-generated payment posting outputs, ERA matching recommendations, and reconciliation reports for accuracy and completeness. • Manage electronic and manual payment posting workflows across multiple payers and payment types. • Reconcile posted payments against bank deposits, lockbox reports, and payer remittances to ensure accuracy. • Identify and resolve posting errors, misapplied payments, and unapplied cash. • Monitor cash posting KPIs, including posting accuracy rates, days to post, unapplied cash balances, and reconciliation variance. • Collaborate with billing, A/R, and finance teams to resolve payment discrepancies and ensure timely cash close. • Ensure compliance with internal controls, HIPAA, and audit requirements for cash handling. • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in cash posting, payment reconciliation, or revenue cycle operations, with at least 2 years in a management role. • Deep knowledge of ERA/835 electronic remittance processing, EOB interpretation, and lockbox reconciliation. • Strong understanding of payer payment methodologies and remittance adjustment reason codes. • Experience managing high-volume payment posting operations across multiple payers. • Proficiency with billing systems and payment posting platforms (Epic, Athenahealth, or equivalent). • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify posting errors and discrepancies in AI-generated payment outputs. — Preferred Qualifications • CRCR, CPC, or CHFP certification. • Experience with automated ERA posting platforms and RPA-driven cash posting solutions. • Background in hospital or physician group cash posting operations with multi-payer complexity. • Familiarity with AI tools and comfort evaluating AI-generated remittance and payment content. • Experience developing cash posting SOPs and internal control frameworks. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in payment reconciliation and revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$85 / hourOpen / Referral verified
Finance / Remote

Underpayment & Managed-care Contract Specialist

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Underpayment and Managed Care Contract Specialists to evaluate AI tools designed to detect payment variances and automate contract compliance monitoring. Your expertise in payer contract interpretation, payment variance analysis, and underpayment recovery will help AI systems optimise net revenue and identify systematic underpayments. — Responsibilities • Identify, analyse, and recover underpayments and payment variances across commercial, Medicare Advantage, and Medicaid managed care payer contracts. • Evaluate AI-generated underpayment detection alerts, contract compliance outputs, and payment variance analyses for accuracy. • Interpret payer contract terms including fee schedules, carve-outs, outlier provisions, and payment methodologies to validate claim payments. • Conduct contract modelling and payment reconciliation to identify systematic underpayment patterns. • Develop and submit underpayment claims and recovery correspondence to payers. • Collaborate with managed care contracting teams to identify contract language gaps and renegotiation opportunities. • Monitor underpayment recovery KPIs including identified underpayment dollars, recovery rates, and payer response rates. • Ensure compliance with payer contract terms, HIPAA, and timely filing requirements for underpayment recovery. • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in underpayment recovery, payment variance analysis, or managed care contracting, with demonstrated expertise in contract interpretation. • Deep knowledge of payer payment methodologies including DRG-based, per diem, per cent-of-billed charges, and fee schedule reimbursement. • Strong experience with contract modelling, payment reconciliation, and payer dispute resolution. • Familiarity with managed care contract management systems and payment variance detection tools. • Proficiency with Excel-based financial analysis and revenue cycle analytics platforms. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify payment discrepancies in complex contract structures and AI-generated outputs. — Preferred Qualifications • CHFP, CRCR, or managed care contracting certification. • Experience with contract management software (e.g., Experian Health, Recondo, or similar). • Background in hospital, health system, or large physician group underpayment recovery operations. • Familiarity with AI tools and comfort evaluating AI-generated payment variance content. • Experience negotiating payer contracts and presenting underpayment analysis to executive leadership. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in managed care contracting and the revenue cycle. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$85 / hourOpen / Referral verified
Code / Remote

Applied Computer Science Benchmark Specialist

Role Overview — We are seeking expert computer scientists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core computer science domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of computer science expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Computer Science Domains Covered — Accelerator / GPU Kernel Engineering, Formal Methods & Automated Reasoning, Computer Architecture & Accelerators, Distributed Systems, DevOps & Site Reliability, Data Engineering & Databases, Cloud & Infrastructure, OS & Systems Kernel, Machine Learning Engineering, Web & API Development, Embedded Systems Engineering, Computer Graphics & Game Development, Mobile Engineering. — Key Responsibilities • Author original computer science questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning • Research publications, industry experience at top tech companies, or competitive programming background is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$66 - $84 / hourOpen / Referral verified
Code / Remote

Atomic Layer Deposition (ALD) Experts

Mercor is seeking experts in Atomic Layer Deposition (ALD) and thin-film processes to support a frontier AI research lab building models for semiconductors and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about deposition, materials, and semiconductor processes. — Key Responsibilities: • Contribute domain expertise across ALD process development, precursor chemistry, and thin-film characterization to build high-quality training and evaluation data. • Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy. • Design and solve challenging, expert-level problems in ALD and semiconductor processing. • Rate and rank model outputs against defined scientific criteria, with clear written reasoning. • Structure technical knowledge — process parameters, recipes, characterization results — into well-organized, model-ready data. • Deliver reliable, high-quality work within defined timelines. — You're a strong fit if you have: • Hands-on experience developing, optimizing, or troubleshooting ALD processes. • Deep knowledge of thin-film deposition for semiconductor or advanced-packaging applications. • A strong grasp of precursor chemistry and surface reaction mechanisms. • Experience with materials characterization (XRD, SEM, TEM, XPS, ellipsometry, etc.). • An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, chemical engineering, or physics. • Clear written English and the ability to explain technical reasoning precisely. — Role Details: • Type: Long-term, ongoing engagement • Engagement: Up to 40 hours/week (minimum 10) • Work arrangement: Remote (US-based)

$84 / hourOpen / Referral verified
Medical / Remote

Clinical Documentation Integrity (CDI) Leader

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Clinical Documentation Integrity (CDI) managers and leaders to evaluate AI tools designed to enhance clinical documentation accuracy and coding integrity workflows. Your expertise in DRG optimisation, HCC risk adjustment, physician query management, and clinical documentation best practices will directly inform AI systems that improve documentation quality, compliance, and revenue integrity. — Responsibilities • Lead clinical documentation integrity programs for inpatient and/or outpatient settings, overseeing concurrent and retrospective review workflows. • Evaluate AI-generated clinical documentation improvement suggestions, physician queries, and coding recommendations for clinical accuracy and compliance. • Conduct and review clinical documentation to ensure accurate capture of diagnoses, procedures, severity of illness, and risk of mortality. • Develop and manage physician query processes in alignment with AHIMA and ACDIS guidelines. • Monitor CDI program KPIs including query response rates, CC/MCC capture rates, case mix index, and DRG accuracy. • Collaborate with coding, compliance, and clinical teams to address documentation gaps and improve query processes. • Provide education to physicians and clinical staff on documentation requirements and best practices. • Ensure compliance with Official Coding Guidelines, CMS regulations, and payer-specific requirements. • Annotate AI outputs and provide structured clinical feedback to support AI training datasets. — Requirements • 5+ years of experience in clinical documentation integrity or improvement, with at least 2 years in a manager or leadership role. • Deep knowledge of MS-DRG methodology, CC/MCC hierarchies, and ICD-10-CM/PCS coding guidelines. • Expertise in physician query management per AHIMA and ACDIS compliant query standards. • Strong clinical background with the ability to interpret medical records and clinical documentation. • Proficiency with CDI software platforms (3M, Nuance, Optum360, or equivalent) and EHR systems. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to critically evaluate clinical documentation and AI-generated outputs. • Comfortable working independently in a fully remote environment. — Preferred Qualifications • CCDS (Certified Clinical Documentation Specialist) or CDIP (Clinical Documentation Improvement Practitioner) credential. • Experience with HCC risk adjustment and outpatient CDI programs. • Background in RN, RHIA, CCS, or similar clinical or coding credential. • Familiarity with AI-assisted CDI tools (e.g., Nuance DAX, 3M M\*Modal) and comfort evaluating AI-generated clinical content. • Experience presenting CDI performance metrics to clinical and executive leadership. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in clinical documentation and revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$84 / hourOpen / Referral verified
Code / Remote

ML Engineer (Coding Agent Experience)

About the Role — \- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project. — \- Contributors help evaluate and improve frontier AI coding models through structured technical assessments. — \- The work focuses on realistic machine learning engineering workflows and model evaluation. — \- Spots are limited and filling quickly on a first come, first serve basis. — What You'll Do — \- Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. — \- Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications. — \- Identify bugs, edge cases, performance issues, and failure modes. — \- Compare outputs from multiple frontier models and assess their strengths and weaknesses. — \- Apply professional engineering judgment to realistic ML engineering scenarios. — Time Commitment — \- Sprint based project that runs in 12-24 hour stretches based on client requirement. — Compensation — \- $400 per accepted task. — \- Typical tasks take approximately 2–3 hours after ramp-up. — \- Compensation is tied to accepted work. — Who Should Apply — \- 2+ years of professional machine learning engineering experience. — \- Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products. — \- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. — \- Ability to evaluate model-generated machine learning implementations and technical tradeoffs. — \- Experience deploying ML systems to production is preferred.

$85 / hourOpen / Referral verified
Code / Remote

ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)

Overview — We're looking to rapidly assemble a small group of world-class machine learning researchers for an initial pilot. This is a high-priority engagement with an accelerated timeline, so both exceptional candidate quality and fast turnaround are critical. We're specifically seeking researchers with demonstrated contributions to frontier ML research, particularly those driving algorithmic innovation rather than applied analytics. — Candidate Requirements — Required Qualifications • PhD in Machine Learning, Computer Science, AI, or a closely related field • Published at least one main conference paper at ICML, NeurIPS, or ICLR • Strong preference for candidates with 2+ publications at these venues • Demonstrated experience conducting original ML research — Preferred Research Areas • Reinforcement Learning (RL) • Meta-Learning • Recursive Self-Improvement • AI for Science (e.g. weather forecasting, protein modeling, scientific discovery) — Timeline — Priority: Urgent — Expected Schedule • Initial data/results: Monday / Tuesday 27th July • * * — Success Criteria — Candidates should have a proven record of advancing state-of-the-art machine learning through publications at top-tier conferences and possess deep expertise in frontier ML research. Speed of sourcing is important, but quality should not be compromised.

$60 - $100 / hourOpen / Referral verified
Code / Remote

DevOps / SRE / Cloud Engineer (Coding Agent Experience)

About the Role — \- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project. — \- Contributors help evaluate and improve frontier AI coding models through structured technical assessments. — \- The work focuses on realistic infrastructure engineering workflows and model evaluation. — \- Spots are limited and filling quickly on a first come, first serve basis. — What You'll Do — \- Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. — \- Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation. — \- Identify bugs, edge cases, reliability issues, and failure modes. — \- Compare outputs from multiple frontier models and assess their strengths and weaknesses. — \- Apply professional engineering judgment to realistic infrastructure engineering scenarios. — Time Commitment — \- Sprint based project that runs in 12-24 hour stretches based on client requirement. — Compensation — \- $400 per accepted task. — \- Typical tasks take approximately 2–3 hours after ramp-up. — \- Compensation is tied to accepted work. — Who Should Apply — \- 2+ years of professional DevOps, SRE, or Cloud Engineering experience. — \- Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling. — \- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. — \- Ability to evaluate model-generated infrastructure and reliability engineering solutions. — \- Experience supporting production-scale systems is preferred.

$85 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Spanish - Mexico)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Mexico-based voice actors with native Mexican Spanish accents to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native Mexican Spanish speaker currently based in Mexico • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Medical / US Remote

Healthcare Expert

Join a growing network of industry experts supporting AI research and development. — Overview — We're building a select group of experienced healthcare professionals to help evaluate and improve how AI systems understand and reason about healthcare topics. You'll bring your real-world clinical expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in healthcare contexts. — This is a flexible, part-time engagement — approximately 10 hours per week, fully remote, with the opportunity to continue and grow over time. — What You'll Do • Review and evaluate written content and AI-generated responses in your area of clinical expertise for accuracy and quality. • Answer questions and provide clear, well-reasoned feedback based on your professional experience. • Help identify useful reference material relevant to your field. • Share insight into how healthcare professionals actually work — the tools, workflows, and standards you rely on day to day. • Collaborate with a small group of other subject-matter experts across different fields. — What We're Looking For • Licensed medical doctor (MD). • 2+ years of professional clinical experience; broad or generalist clinical exposure is a plus over a narrow subspecialty. • Comfortable engaging with medical literature and clinical guidelines (e.g. UpToDate, PubMed, published research). • Prior teaching or training experience (e.g. supervising residents, CME instruction, medical education) is a plus. • Comfortable using everyday AI tools (e.g. ChatGPT or similar). • Based in the United States. • Professional working English. • Able to commit reliably to about 10 hours per week. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$90 - $100 / hourOpen / Referral verified
Business / Remote

Product Management Expert

Role Overview • Mercor is seeking senior product management professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise product contexts. • The workflows are calibrated to the product scale, stakeholder complexity, and market stakes of Fortune 500 and large public company product organizations. • Contributors design enterprise product scenarios, draft reference outputs, and write rubrics that capture how senior F500 product leaders think. — Key Responsibilities • Construct enterprise product scenarios spanning multi-quarter roadmap planning, cross-functional stakeholder alignment, and complex go-to-market or platform decisions at F500 scale. • Build product tasks across F500 product strategy, discovery and user research, pricing and packaging, platform/API product management, and product-led growth. • Develop product operations scenarios involving tools such as Jira/Productboard, Amplitude/Mixpanel, Figma, and enterprise experimentation platforms in F500 stacks. • Apply enterprise product methodologies (JTBD, RICE/opportunity scoring, dual-track agile, OKRs) and produce reference PRDs, roadmap strategies, and executive-level product narratives. • Author rubrics that distinguish authentic enterprise product judgment from generic framework or bootcamp-level recall. — Ideal Qualifications • 5+ years as a product manager or product leader at a Fortune 500 technology or enterprise organization (Google, Amazon, Microsoft, Salesforce, Adobe) or inside an F500 product organization at a non-tech enterprise (JPMorgan, UPS, Unilever, PepsiCo). • Direct ownership of F500-scale products, platforms, or product lines with measurable business impact. • Fluency in enterprise product tooling and methodologies, plus understanding of how F500 budgets, cross-functional governance, and executive stakeholder alignment actually work. • Prior rubric, product-training curriculum, or PRD/documentation authorship is a plus.

$80 - $90 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Spanish - Latin America)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Latin America-based voice actors with native Latin American Spanish fluency and neutral, internationally intelligible delivery to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native Latin American Spanish speaker currently based in Latin America, with the ability to speak neutral, internationally intelligible Spanish — without a strong regional accent • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Spanish - Peninsular)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Spain-based voice actors with native Castilian/Peninsular Spanish accents to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native Castilian/Peninsular Spanish speaker currently based in Spain • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Business / United States Remote

Marketing Specialist

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Marketing subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world brand/growth judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in brand strategy, growth marketing, and campaign-reasoning tasks. • Design challenging, domain-relevant marketing tasks and write accurate, well-reasoned solutions grounded in real marketing practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to marketing tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 8+ years of dedicated professional experience in marketing (e.g., brand strategy, growth marketing, performance marketing) at a recognized, top-tier organization (e.g., P&G, Unilever, Nike, Ogilvy, WPP, Omnicom, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application. • Demonstrable career progression (e.g., Marketing Manager → Senior Manager → Director/VP of Marketing). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$60 - $80 / hourOpen / Referral verified
Medical / United States Remote

Insurance Specialist

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Insurance subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world underwriting judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in underwriting, claims, and risk-assessment reasoning. • Design challenging, domain-relevant insurance tasks and write accurate, well-reasoned solutions grounded in real underwriting/claims practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to insurance tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 8+ years of dedicated professional experience in insurance (e.g., underwriting, claims, actuarial, risk management) at a recognized, top-tier organization (e.g., AIG, Chubb, Allstate, Progressive, MetLife, Marsh McLennan, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application. • Demonstrable career progression (e.g., Underwriter → Senior Underwriter → VP of Underwriting). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$60 - $80 / hourOpen / Referral verified
Medical / United States Remote

Retail Specialist

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Retail subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world retail judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in retail merchandising, category management, and operations reasoning. • Design challenging, domain-relevant retail tasks and write accurate, well-reasoned solutions grounded in real retail practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to retail tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 8+ years of dedicated professional experience in retail (e.g., merchandising, category management, retail operations, buying/planning) at a recognized, top-tier organization (e.g., Amazon, Walmart, Target, Nike, Costco, Home Depot, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application. • Demonstrable career progression (e.g., Category Manager → Senior Manager → Director of Merchandising). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$60 - $80 / hourOpen / Referral verified
Medical / Remote

Medical Billing Manager

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Billing and Claims Managers to support the evaluation of AI tools designed to automate and improve medical billing and claims submission workflows. Your expertise in claims processing, payer requirements, EDI transactions, and billing compliance will directly inform AI systems that improve first-pass claim acceptance rates and accelerate revenue cycle performance. — Responsibilities • Oversee end-to-end medical billing and claims submission operations across professional fee and/or facility billing environments. • Evaluate AI-generated billing outputs, claim edits, and coding validations for accuracy and payer compliance. • Manage claims submission workflows including electronic claim generation, clearinghouse edits, and payer-specific billing requirements. • Monitor clean claim rates, rejection rates, and first-pass acceptance rates and develop improvement strategies. • Coordinate with coding, CDI, and collections teams to resolve billing edits and claim rejections. • Ensure compliance with CMS billing guidelines, HIPAA 837 transaction standards, and payer-specific billing rules. • Manage billing staff workload, productivity, and quality performance metrics. • Develop and maintain billing SOPs and payer-specific billing reference guides. • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in medical billing and claims management, with at least 2 years in a management role. • Deep knowledge of professional fee (CMS-1500/837P) and/or facility (UB-04/837I) billing requirements. • Expertise in HIPAA 837 transaction standards, clearinghouse operations, and payer-specific billing rules. • Strong understanding of Medicare, Medicaid, and commercial payer billing requirements. • Proficiency with billing platforms (Epic, Athenahealth, AdvancedMD, or equivalent) and clearinghouse tools. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify billing errors and compliance issues in AI-generated outputs. — Preferred Qualifications • CPC, CCS, CHFP, or CRCR certification. • Experience with automated billing platforms and RCM technology implementations. • Background in multi-speciality physician group, hospital, or health system billing operations. • Familiarity with AI tools and comfort evaluating AI-generated billing content. • Experience with payer contract interpretation and billing compliance program management. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in medical billing and revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$80 / hourOpen / Referral verified
Code / Remote

Coding Manager / HIM Coding Leader

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Coding Managers and HIM Coding leaders to evaluate AI-powered coding solutions and help train next-generation autonomous coding systems. Your expertise in professional fee (profee) and/or inpatient facility coding, ICD-10-CM/PCS, CPT/HCPCS, and HIM operations will directly inform AI tools designed to improve coding accuracy, productivity, and compliance across healthcare settings. — Responsibilities • Oversee professional fee and/or facility inpatient coding operations, ensuring accuracy, productivity, and compliance with coding guidelines. • Evaluate AI-generated coding assignments, including ICD-10-CM/PCS diagnoses, procedure codes, CPT/HCPCS codes, and DRG assignments, for accuracy and compliance. • Conduct coding quality audits and provide targeted feedback to coding staff and AI systems. • Monitor coding KPIs including coder productivity, accuracy rates, unbilled accounts, and claim denial rates attributable to coding errors. • Manage coding workflow queues, work distribution, and turnaround time compliance. • Ensure adherence to Official Coding Guidelines, CMS regulations, and payer-specific coding requirements. • Provide ongoing coding education and compliance training to coding staff. • Collaborate with CDI, billing, and compliance teams to address coding-related revenue integrity issues. • Annotate AI-generated coding outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in medical coding, with at least 2 years in a coding manager or HIM leadership role. • Expert knowledge of ICD-10-CM/PCS, CPT/HCPCS, and Official Coding Guidelines. • Proficiency in professional fee (profee) coding and/or facility inpatient coding with DRG assignment experience. • Experience conducting coding audits and developing coding quality improvement programs. • Proficiency with coding software (3M, Nuance, Optum360, TruCode) and EHR platforms. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify coding errors, compliance risks, and AI output inaccuracies. — Preferred Qualifications • CPC (Certified Professional Coder), CCS (Certified Coding Specialist), RHIA, or RHIT credential. • Experience with computer-assisted coding (CAC) tools and NLP-based coding platforms. • Background in inpatient facility coding with DRG optimisation experience. • Familiarity with AI coding tools and comfort evaluating AI-generated coding assignments. • Experience presenting coding performance data and quality metrics to leadership. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in medical coding and health information management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$80 / hourOpen / Referral verified
Medical / Remote

Patient Access Leader

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Patient Access leaders to support the evaluation and improvement of AI tools designed for healthcare revenue cycle workflows. This is an opportunity to apply your expertise in patient registration, pre-registration, scheduling, and intake coordination to help shape AI systems that will transform front-end healthcare operations. — Responsibilities • Lead end-to-end patient access operations including pre-registration, registration, scheduling, and intake workflows across inpatient and outpatient settings. • Evaluate AI-generated outputs related to patient access processes, identifying errors and providing structured, actionable feedback. • Develop and enforce policies and procedures for registration accuracy, demographic capture, and point-of-service collections. • Monitor KPIs including registration error rates, pre-registration completion rates, insurance verification accuracy, and front-end denial rates. • Ensure clean claim submission from point of entry by identifying and resolving front-end deficiencies. • Collaborate with billing, clinical, and IT teams to streamline patient access workflows and reduce downstream claim errors. • Train and mentor staff on registration best practices, compliance requirements, and system usage. • Ensure compliance with HIPAA, CMS guidelines, and payer-specific requirements at the point of service. • Document observations, annotate AI outputs, and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in patient access, patient registration, or front-end revenue cycle management, with at least 2 years in a manager or director-level role. • Deep knowledge of pre-registration, insurance verification, scheduling intake, and point-of-service collections. • Strong understanding of HIPAA, CMS regulations, and commercial and government payer requirements. • Proficiency with Epic, Cerner, Meditech, or similar EHR and registration systems. • Exceptional written and verbal English communication skills. • High attention to detail and ability to identify inconsistencies in workflows, data, or AI-generated outputs. • Comfortable working independently in a fully remote environment. • Strong organisational skills with the ability to manage multiple priorities simultaneously. — Preferred Qualifications • NAHAM Certified Healthcare Access Manager (CHAM) or Certified Healthcare Access Associate (CHAA) credential. • Experience with denial prevention strategies at the point of registration. • Familiarity with AI tools such as ChatGPT, Claude, or similar systems. • Background in health system, hospital, or large physician group settings. • Experience developing SOPs and training materials for patient access teams. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in healthcare revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$80 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Spanish - Peru)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Peru-based female voice actors with native Peruvian Spanish accents to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native Peruvian female Spanish speaker currently based in Peru • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 - $100 / hourOpen / Referral verified
Code / Remote

Data Engineer (Coding Agent Experience)

About the Role — \- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project. — \- Contributors help evaluate and improve frontier AI coding models through structured technical assessments. — \- The work focuses on realistic data engineering workflows and model evaluation. — \- Spots are limited and filling quickly on a first come, first serve basis. — What You'll Do — \- Use frontier AI coding agents to complete and evaluate complex data engineering tasks. — \- Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems. — \- Identify bugs, edge cases, scalability issues, and failure modes. — \- Compare outputs from multiple frontier models and assess their strengths and weaknesses. — \- Apply professional engineering judgment to realistic data engineering scenarios. — Time Commitment — \- Sprint based project that runs in 12-24 hour stretches based on client requirement. — Compensation — \- $400 per accepted task. — \- Typical tasks take approximately 2–3 hours after ramp-up. — \- Compensation is tied to accepted work. — Who Should Apply — \- 2+ years of professional data engineering experience. — \- Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems. — \- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. — \- Ability to evaluate model-generated data infrastructure and pipeline implementations. — \- Experience operating large-scale data platforms is preferred.

$80 / hourOpen / Referral verified
Code / Remote

Applied Engineering Benchmark Specialist

Role Overview — We are seeking expert engineers to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core engineering domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of engineering expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Engineering Domains Covered — Semiconductor Design & Manufacturing (VLSI), Control Science and Engineering, Mechatronics, Reactor, Plant Design & Separations, Reservoir Engineering & Maintenance, Bioinstrumentation & Biotechnology. — Key Responsibilities • Author original engineering questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Engineering or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level engineering principles, applied mathematics, and domain-specific standards • Professional engineering licensure (PE) or industry experience is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$61 - $77 / hourOpen / Referral verified
Math / Remote

Applied Mathematics Benchmark Specialist

Role Overview — We are seeking expert mathematicians to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core mathematics domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of mathematical expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Mathematics Domains Covered — Signal Processing, Financial Mathematics & Actuarial Science, Mathematical Economics, Mathematical Modeling of Ecological & Biological Systems, Mathematical Programming & Combinatorial Optimization, Geomathematics & Climate Modeling. — Key Responsibilities • Author original math questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Mathematics, Applied Mathematics, Statistics, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level mathematical concepts and formal proof writing • Experience with rigorous academic problem design or mathematical competition writing is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$61 - $77 / hourOpen / Referral verified
STEM / Remote

Applied Chemistry Benchmark Specialist

Role Overview — We are seeking expert chemists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core chemistry domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of chemistry expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Chemistry Domains Covered — Materials, Polymer & Electronic Chemistry, Industrial & Process Chemistry, Energy Storage & Environmental Chemistry, Pharmaceutical & Agrochemical Chemistry, Consumer, Food & Specialty Chemicals. — Key Responsibilities • Author original chemistry questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis • Experience with rigorous academic problem design or chemistry olympiad writing is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$61 - $77 / hourOpen / Referral verified
STEM / Remote

Applied Physics Benchmark Specialist

Role Overview — We are seeking expert physicists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core physics domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of physics expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Physics Domains Covered — Semiconductor Physics, Nanoelectronics & Spintronics, Photonics, Quantum Optics & Ultrafast, Quantum Sensing & Metrology, Plasma Physics & Fusion Energy, Nonlinear Dynamics & Turbulence, Geophysics & Reservoir Simulation. — Key Responsibilities • Author original physics questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Physics, Applied Physics, Astrophysics, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level physics concepts and mathematical formalism • Experience with rigorous academic problem design or physics olympiad writing is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$61 - $77 / hourOpen / Referral verified
STEM / Remote

Chess Expert (1800+ ELO) — Game Reconstruction & Transcript Correction

We're hiring strong chess players to help build a high-quality chess dataset for an AI research partner: — 1. Transcript Correction — Watch a video of a strong player narrating a game and fix speech-to-text errors in the commentary transcript (piece names, squares, moves). The form syncs the transcript to the video (click a word to jump there). 2. Game Reconstruction (the main task) — Working ONLY from the corrected transcript (no video, no searching for the source game), rebuild the full game on an analysis board (lichess/chess.com) and paste the PGN. Then determine whether the transcript uniquely specifies the complete game; if not, itemize the minimal missing information needed. — You're a fit if you: • Are rated 1800+ ELO (FIDE or online equivalent) • Read algebraic notation fluently and are comfortable using an analysis board • Have a strong ear for spoken chess commentary and careful attention to detail

$90 / hourOpen / Referral verified
STEM / Remote

Applied Biology Benchmark Specialist

Role Overview — We are seeking expert biologists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core biology domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of biology expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Biology Domains Covered — Pharmaceutical Manufacturing, Industrial and Synthetic Biology, Medical Research & Drug Discovery, Agricultural, Environmental & Food Biology. — Key Responsibilities • Author original biology questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Biology, Molecular Biology, Biochemistry, Neuroscience, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level biological concepts, experimental design, and data interpretation • Research publications or laboratory experience in biological sciences is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$60 - $75 / hourOpen / Referral verified
Finance / Remote

A/R Follow-up Manager

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced A/R Follow-Up Managers to evaluate AI tools designed to automate accounts receivable follow-up and payer collections workflows. Your expertise in claim status follow-up, payer correspondence, and A/R management will directly inform AI systems that reduce days in accounts receivable and improve revenue recovery. — Responsibilities • Lead A/R follow-up operations across commercial, Medicare, Medicaid, and managed care payers, ensuring timely resolution of outstanding claims. • Evaluate AI-generated A/R follow-up recommendations, claim status inquiry outputs, and payer correspondence drafts for accuracy and effectiveness. • Manage claim status follow-up workflows including electronic claim status inquiries (276/277 EDI), payer portal follow-up, and phone-based resolution. • Prioritise A/R queues by ageing bucket, payer, and dollar value to maximise revenue recovery. • Identify and resolve claim payment discrepancies, payer processing errors, and underpayments. • Monitor A/R KPIs including days in A/R, ageing bucket distribution, collection rates, and write-off rates. • Develop and implement payer-specific follow-up strategies to accelerate claim resolution. • Ensure compliance with FDCPA, HIPAA, and payer-specific follow-up and timely filing requirements. • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in A/R follow-up, payer collections, or revenue cycle operations, with at least 2 years in a management role. • Deep knowledge of claim status follow-up workflows, EDI 276/277 transactions, and payer-specific collections processes. • Strong understanding of Medicare, Medicaid, and commercial payer claims processing and payment timelines. • Experience prioritising and managing high-volume A/R queues across multiple payers. • Proficiency with billing systems and A/R management platforms. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to identify payment errors and discrepancies in AI-generated A/R content. — Preferred Qualifications • CRCR, CPC, or CHFP certification. • Experience with RCM technology platforms featuring automated A/R follow-up capabilities. • Background in multi-payer follow-up operations in hospital or physician group settings. • Familiarity with AI tools and comfort evaluating AI-generated A/R follow-up content. • Experience developing A/R reduction action plans and presenting performance to leadership. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in accounts receivable and revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$75 / hourOpen / Referral verified
Medical / Remote

Pharmacy Prior Authorization & Specialty-Medication Access Specialist

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Medication and Pharmacy Prior Authorisation specialists with expertise in speciality medication access to evaluate AI tools designed to automate pharmacy benefit management and speciality drug authorisation workflows. Your deep knowledge of drug formularies, step therapy, and payer PA criteria will directly shape AI systems that improve patient access to critical therapies. — Responsibilities • Process and manage prior authorisation requests for speciality medications, biologics, and high-cost pharmaceuticals across commercial, Medicare Part D, and Medicaid payers. • Review clinical documentation and pharmacy benefit criteria to determine medical necessity for speciality drug authorisations. • Evaluate AI-generated pharmacy prior authorisation recommendations for accuracy, completeness, and payer compliance. • Coordinate with prescribers, speciality pharmacies, and payers to obtain timely medication authorisations. • Manage appeals for denied pharmacy authorisations, including peer-to-peer requests and exception processes. • Navigate payer formularies, step therapy requirements, and speciality drug coverage policies. • Track authorisation status, approval rates, and denial trends to identify process improvement opportunities. • Ensure compliance with payer-specific pharmacy benefit requirements and CMS Part D guidelines. • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in pharmacy prior authorisation, speciality medication access, or pharmacy benefit management. • Deep knowledge of speciality drug formularies, step therapy protocols, and payer PA criteria across commercial and government payers. • Experience with speciality pharmacy platforms and pharmacy benefit management (PBM) systems. • Familiarity with Medicare Part D coverage determination and exception processes. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to evaluate clinical documentation and AI-generated outputs. — Preferred Qualifications • Certified Pharmacy Technician (CPhT) or Certified Prior Authorisation Professional (CPAP) credential. • Experience with hub services and patient assistance programs for speciality medications. • Background in speciality pharmacy, infusion services, or oncology/rheumatology drug access. • Familiarity with AI tools and comfort evaluating AI-generated pharmacy content. • Experience with manufacturer copay assistance and patient access programs. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in healthcare revenue cycle management. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$75 / hourOpen / Referral verified
Language / Remote

Design Expert

Role Overview • Mercor is seeking senior product design and AI-assisted development professionals to build evaluation tasks for AI systems operating in rapid prototyping, product design, and human-AI collaborative coding contexts. • The workflows are calibrated to the design complexity, user experience stakes, and scope of major product development and design systems work. • This role builds worlds across two subdomains: a Vibecoding track (AI-assisted, natural-language-driven software development and rapid prototyping) and a Design track (product, UX/UI, and visual design systems). Experts qualified in either or both subdomains are encouraged to apply. • Contributors design scenarios, draft reference outputs, and write rubrics that capture how senior product builders and designers think. — Key Responsibilities • Construct scenarios spanning rapid prototyping and iteration cycles, design system development, and cross-functional product-design-engineering collaboration. • Build tasks across AI-assisted application development, natural-language-to-code workflows, and rapid prototyping (Vibecoding); and UX/UI design, design systems and component libraries, user research, and usability testing (Design). • Develop scenarios involving tools such as AI coding assistants (Cursor, Claude Code, v0, Replit) for the Vibecoding subdomain, and Figma, prototyping tools (Framer), and design systems tooling for the Design subdomain. • Apply subdomain-specific methodologies (iterative prompt-driven development for Vibecoding; human-centered design principles and heuristic evaluation for Design), and produce reference prototypes, code artifacts, design specs, and usability evaluation reports. • Author rubrics that distinguish authentic senior-level product judgment from generic tutorial-level or template-driven work. — Ideal Qualifications • 5+ years working as a product designer, design lead, or AI-native engineer/vibecoder at a major product- or design-forward company (Figma, Airbnb, Notion, Linear, or a notable independent/startup product builder). • Direct ownership of product design systems or AI-assisted development workflows shipped to production. • Fluency in vibecoding or design tooling, plus understanding of user-centered design principles and rapid prototyping practices. • A portfolio of shipped work is strongly preferred in place of a formal credential; prior rubric, training, or design critique authorship is a plus.

$70 - $80 / hourOpen / Referral verified
Finance / Remote

Accounting Expert

Role Overview • Mercor is seeking senior accounting professionals to build evaluation tasks for AI systems operating in financial reporting, audit, and technical accounting contexts. • The workflows are calibrated to the reporting complexity, materiality stakes, and scope of major public company and enterprise accounting functions. • This role builds worlds on two tracks: a US track (US GAAP, PCAOB standards) and an International track (IFRS, International Standards on Auditing). Experts qualified in either or both tracks are encouraged to apply. • Contributors design accounting scenarios, draft reference outputs, and write rubrics that capture how senior accountants and auditors think. — Key Responsibilities • Construct accounting scenarios spanning financial statement preparation, technical accounting research, external and internal audit processes, and complex transaction accounting (M&A, revenue recognition, leases). • Build tasks across financial reporting, technical accounting and research, audit and assurance, complex transaction accounting, and internal controls/SOX compliance. • Develop scenarios involving tools such as ERP systems (SAP, Oracle), consolidation software, audit management platforms, and research tools (Bloomberg Tax, RIA Checkpoint) used at major firms. • Apply accounting methodologies (revenue recognition, lease accounting, consolidation) to the standards track a world targets (US: US GAAP/ASC codification, PCAOB standards; International: IFRS, ISA), and produce reference financial statements, technical accounting memos, audit workpapers, and internal control assessments. • Author rubrics that distinguish authentic accounting judgment from generic textbook or CPA exam-level recall. — Ideal Qualifications • 5+ years working as an accountant, controller, or audit partner at a major accounting firm or corporation (Big Four, or a corporate controller/CFO). • Direct ownership of financial reporting, audit engagements, or technical accounting matters. • Fluency in accounting tooling, plus understanding of regulatory reporting (SEC filings) and audit standards. • A recognized professional credential is strongly preferred (CPA, or an international equivalent such as ACCA or CA); prior rubric or training authorship is a plus.

$70 - $80 / hourOpen / Referral verified
Legal / US Remote

Legal Expert

Join a growing network of industry experts supporting AI research and development. — Overview — We're building a select group of experienced legal professionals to help evaluate and improve how AI systems understand and reason about legal topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in legal contexts. — This is a flexible, part-time engagement — approximately 10 hours per week, fully remote, with the opportunity to continue and grow over time. — What You'll Do • Review and evaluate written content and AI-generated responses in your area of legal expertise for accuracy and quality. • Answer questions and provide clear, well-reasoned feedback based on your professional experience. • Help identify useful reference material relevant to your field. • Share insight into how legal professionals actually work — the tools, workflows, and standards you rely on day to day. • Collaborate with a small group of other subject-matter experts across different fields. — What We're Looking For • Admitted to a United States state bar. A background as a legal librarian is a plus, though not required. • 2+ years of professional legal experience, ideally spanning more than one practice area (e.g. contracts, litigation, regulatory/compliance, corporate, IP). • Comfortable researching and writing using standard legal tools and references (case law databases, statutes, treatises). • Some experience writing or publishing legal content — memos, briefs, CLE materials, or similar — is a plus. • Comfortable using everyday AI tools (e.g. ChatGPT or similar). • Based in the United States. • Professional working English. • Able to commit reliably to about 10 hours per week. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified
Finance / US Remote

Finance Specialist — CFA/ACA/ACCA/CPA Required

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking Finance subject-matter experts (SMEs) with solid domain expertise to bring rigor and real-world financial judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in financial reasoning, analysis, and decision-making. • Design challenging, domain-relevant finance tasks and write accurate, well-reasoned solutions grounded in real financial practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to finance tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 2+ years of dedicated professional experience in finance (e.g., investment banking, asset management, corporate finance, accounting/audit, corporate treasury, financial planning & analysis) — not a generalist role that only touches finance peripherally. • Professional finance credential required: CFA, ACA, ACCA, or CPA. • Ability to engage reliably for at least 10 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified
Business / Remote

Denials Management & Appeals Manager

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Denials Management and Appeals Managers to evaluate AI tools designed to automate denial prevention, appeal writing, and root cause analysis workflows. Your expertise in payer denial patterns, clinical and technical appeals, and denial management analytics will directly inform AI systems that reduce denial rates and maximise revenue recovery. — Responsibilities • Lead denials management and appeals operations, overseeing the identification, categorisation, and resolution of claim denials. • Evaluate AI-generated appeal letters, denial root cause analyses, and denial prevention recommendations for accuracy and effectiveness. • Analyse denial trends by payer, denial code (CARC/RARC), and denial category to identify systemic root causes. • Develop and manage clinical and technical appeal strategies across multiple payer types. • Coordinate with clinical, coding, billing, and compliance teams to implement denial prevention initiatives. • Monitor denial management KPIs including denial rates, appeal overturn rates, revenue recovery, and days in A/R. • Manage the appeals calendar to ensure timely submission within payer and regulatory deadlines. • Ensure compliance with payer appeal requirements, CMS regulations, and timely filing deadlines. • Annotate AI outputs and provide structured feedback to support AI training datasets. — Requirements • 5+ years of experience in denials management, appeals, or revenue cycle operations, with at least 2 years in a management role. • Deep knowledge of CARC/RARC denial codes, payer denial patterns, and appeal strategies across commercial, Medicare, and Medicaid payers. • Strong understanding of clinical and technical appeal processes including peer-to-peer reviews and external reviews. • Experience with denial analytics platforms and revenue cycle reporting tools. • Proficiency with EHR systems and billing platforms. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to evaluate appeal quality and identify errors in AI-generated denial management content. — Preferred Qualifications • CPC, CCS, CRCR, or CHFP certification. • Experience with AI-assisted denial management platforms (e.g., Waystar, Experian Health, Nthrive). • Background in complex clinical appeals including medical necessity, experimental/investigational, and level of care denials. • Familiarity with AI tools and comfort evaluating AI-generated appeal and denial content. • Experience presenting denial management performance to revenue cycle leadership. — Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in denials management and revenue cycle. • Opportunity to work on high-impact projects shaping the future of healthcare AI.

$70 - $93 / hourOpen / Referral verified
Business / United States Remote

Project Coordinator - AI & Data Projects

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — Are you ready to help shape the future of artificial intelligence? Join a leading AI lab's cutting-edge GenAI team, where you'll be at the forefront of building groundbreaking AI models. We're seeking talented Project Coordinators to support and accelerate world-class AI research and data operations — acting as the operational bridge between program leadership and a growing team of domain experts. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. What You'll Do • Act as a day-to-day point of contact for AI data projects, helping keep workflows and operations running smoothly. • Work closely with program leads and domain experts — take inputs from leadership, turn them into clear guidelines, and share them with expert teams. • Help onboard and support new experts as the program grows. • Join weekly business reviews, keep notes and action items organized, and lead calls when needed. • Help spot quality issues, understand root causes, and share findings across teams. • Contribute to creating and refining project guidelines with research and product partners. • Flag potential roadblocks early and help get them resolved. • Track project deliverables using Google Sheets and Excel. • Stay flexible and adapt as project needs evolve. — 3. Qualifications • Location: Must be based in the USA. • Education: STEM background strongly preferred. • Experience: 3+ years in project coordination or project management, with the ability to coordinate large, cross-functional teams. • AI fluency: hands-on experience on AI training-data or human-data projects — as a project coordinator, team lead, EPM, or expert contributor. • Ideal: prior project coordination on AI/data programs at organizations like Meta, TikTok, or Amazon, or EPM/project-lead experience on Mercor projects or other AI tranining projects. • Skills: strong data management experience (Excel, SQL) and working knowledge of coding. • Leadership: prior people management experience or demonstrated ability to lead large groups effectively. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$45 - $70 / hourOpen / Referral verified
Policy & Safety / Remote

AI Safety Practitioner

We are seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive, and ambiguous ("grey-area") topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback. — Responsibilities • Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality. • Review content involving misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains. • Apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking. • Identify unsafe outputs, hallucinations, reasoning failures, and policy violations. • Provide structured feedback to improve model alignment and safety performance. • Collaborate with AI researchers and safety teams on ongoing evaluation initiatives. — Required Qualifications • Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline. • 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, scientific research, security, or a related field. • Excellent written English, critical thinking, and analytical reasoning skills. • Ability to consistently evaluate nuanced and policy-sensitive scenarios. — Preferred Qualifications • Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation. • Familiarity with safety policies, content moderation, or evaluation rubric development. • Experience reviewing complex, high-risk, or ambiguous content. — Why Join? • Shape the safety and behaviour of frontier AI models used by millions worldwide. • Work on challenging, real-world safety evaluations across nuanced and high-impact domains. • Collaborate with leading AI researchers, engineers, and safety teams.

$60 - $70 / hourOpen / Referral verified
Language / Remote

Generalist (Macbook User)

Role Overview: — Mercor is looking for detail-oriented individuals with 2-3 years of experience in STEM, non-STEM fields, or currently enrolled postgrad college students to support a research project with a leading AI lab. You will help benchmark and improve cutting-edge AI models. — Qualifications: • Required: All experts on this project must have a Macbook device with an ‘M’ series chip to perform tasks on. • Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution • Strong online research and communication skills • Ability to gather and clearly summarize information from diverse sources • Excellent written communication skills • Interdisciplinary degree is a nice to have • Must have a Macbook with one of the following requirements: • Apple Silicon (ARM) Macs • M‑series MacBook Pro, or • MacBook Air models running macOS 15 or higher — Job Details: • Part-time commitment of approximately 10-20 hours per week • Responsibilities include creating high-quality research questions, answers, and evaluation materials to train advanced language models • Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles • Immediate start preferred — Application and Onboarding Process: • Submit your resume, followed by a brief (15-minute) conversation with our AI interviewer to assess research and reasoning skills • Complete a brief paid assessment to further evaluate your fit for the role • You will receive follow-up communication within a few days regarding your application status and next steps

$50 - $60 / hourOpen / Referral verified
Code / Remote — US-based

Atomistic & Surface Modeling Experts (Computational Materials & Catalysis)

Mercor is seeking computational scientists specializing in atomistic and surface modeling to support a frontier AI research lab building models for materials science and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about materials, surfaces, and chemical processes. — Key Responsibilities: • Contribute domain expertise across first-principles and molecular simulation — electronic structure, surface and interface modeling, adsorption, and reaction energetics — to build high-quality training and evaluation data. • Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy. • Design and solve challenging, expert-level problems in atomistic and surface modeling. • Rate and rank model outputs against defined scientific criteria, with clear written reasoning. • Structure technical knowledge — simulation setups, methods, and results — into well-organized, model-ready data. • Deliver reliable, high-quality work within defined timelines. — You're a strong fit if you have: • Hands-on experience with atomistic modeling using first-principles or molecular methods (DFT, ab initio molecular dynamics, classical MD, or Monte Carlo). • Experience modeling surfaces, interfaces, and adsorption or reaction phenomena (slab models, surface reconstructions, transition states, NEB, microkinetics). • Experience modeling semiconductor-relevant materials, or a background in computational (heterogeneous) catalysis. • Proficiency with standard tooling (e.g., VASP, Quantum ESPRESSO, CP2K, GPAW, LAMMPS, ASE, pymatgen). • A PhD in materials science, chemistry, physics, chemical engineering, or a related field, ideally with several years of research experience beyond the PhD. • Clear written English and the ability to explain technical reasoning concisely. — Role Details: • Type: Long-term, ongoing engagement • Engagement: Up to 40 hours/week (minimum 10) • Work arrangement: Remote (US-based)

$84 / hourOpen / Referral verified
Code / United States Remote

Software Engineer, Full Stack (Python, Java, Rust, C#, C++)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Full-Stack Software Engineers with hands-on production experience across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early. This is a full-time commitment of 40 hours per week. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Build and ship full-stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end. • Integrate pre-release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry. • Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team. • Prototype quickly against shifting requirements, delivering working increments with limited up-front specification. • Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation. — 3. Core Qualifications • 3+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization. • Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language — this cohort is intentionally staffed across multiple language ecosystems. • Hands-on experience across the stack: backend services and APIs, a modern front-end framework (React or equivalent), relational or document databases, and cloud deployment. • Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up. • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$50 - $65 / hourOpen / Referral verified
Language / United States Remote

AI Rater Guidelines Writer (Linguist / Instructional Designer)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Linguists and Instructional Designers with deep experience translating ambiguous program requirements into clear, unambiguous rater guidelines to bring precision and consistency to our AI training data — working across domains from finance and retail to insurance, legal, and sports. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and program teams to close the gap between ambiguous program requirements and rater-ready instructions across a range of subject-matter domains. • Design clear, non-contradictory rating guidelines and rubrics that raters can apply consistently, including under edge cases. • Evaluate draft guidelines for ambiguity, internal contradiction, and coverage gaps, and revise until raters can apply them without escalation. • Translate program specifications from domains such as finance, retail, insurance, legal, and sports into precise, discipline-specific rater instructions. • Collaborate with other subject matter experts and program leads to ensure consistency and accuracy across guideline sets. — 3. Core Qualifications • 3+ years of professional experience in linguistics, instructional design, technical writing, or a closely related field, with direct experience writing or refining guidelines/rubrics for human raters in a GenAI/RLHF context. • Demonstrated ability to work across multiple subject-matter domains (e.g., finance, retail, insurance, legal, sports) and translate domain-specific nuance into clear, unambiguous instructions. • Strong track record of resolving ambiguity and contradiction in written specifications — able to point to concrete before/after examples. • Demonstrable career progression. • Ability to engage reliably for at least 35 hours/week during weekdays. • Strong written communication skills and the ability to explain complex or nuanced guidance clearly and precisely. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$45 - $65 / hourOpen / Referral verified
Code / Remote

Inorganic Materials, Semiconductor & Superconductor Experts

Mercor is seeking experimental scientists and engineers across inorganic synthesis, characterization, superconductors, and semiconductors (including advanced packaging) to support a frontier AI research lab building models for materials science and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about materials, devices, and processes. — Key Responsibilities: • Contribute domain expertise across synthesis, characterization, fabrication, and device physics to build high-quality training and evaluation data. • Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy. • Design and solve challenging, expert-level problems in your area of specialization. • Rate and rank model outputs against defined scientific criteria, with clear written reasoning. • Structure technical knowledge — experimental procedures, characterization results, process data — into well-organized, model-ready data. • Deliver reliable, high-quality work within defined timelines. — You're a strong fit if you have: • Hands-on experimental experience in one or more of: inorganic synthesis (solid-state, solution, solvothermal, sol-gel), superconducting materials, or semiconductors and advanced packaging. • Strong materials or device characterization skills (XRD, SEM, TEM, spectroscopy, electrical/transport measurements). • Experience with thin-film growth or device fabrication (MBE/epitaxy, MOCVD, CVD, sputtering, IBAD, etch, clean-room microfabrication) — a plus. • An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, physics, or a related engineering field. • Clear written English and the ability to explain technical reasoning concisely. — Role Details: • Type: Long-term, ongoing engagement • Engagement: Up to 40 hours/week (minimum 10) • Work arrangement: Remote (US-based)

$84 / hourOpen / Referral verified
Medical / Remote

Applied Psychology Benchmark Specialist

Role Overview — We are seeking expert psychologists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core psychology domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of psychology expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Psychology Domains Covered — Neuromorphic Engineering, Human Factors and Engineering Psychology, Consumer and Market Psychology, Psychometrics, Digital Health, Psychedelic-assisted Therapy. — Key Responsibilities • Author original psychology questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD, PsyD, or doctoral candidate in Psychology or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of graduate-level psychological theory, research methodology, and empirical literature • Clinical licensure or research publications in psychology is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$50 - $63 / hourOpen / Referral verified
STEM / Remote

Applied Philosophy Benchmark Specialist

Role Overview — We are seeking expert philosophers to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core philosophy domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of philosophy expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — Philosophy Domains Covered — Formal Ontology & Knowledge Representation, AI Ethics, Applied Epistemology, Philosophy of Technology & Robotics, Philosophy of Science. — Key Responsibilities • Author original philosophy questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in Philosophy or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of philosophical argumentation, formal logic, and canonical texts across traditions • Research publications or teaching experience in philosophy is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$50 - $63 / hourOpen / Referral verified
STEM / Remote

Education Expert - Sourcing Funnel (Private)

Role Overview — Mercor is collaborating with a leading AI lab to engage experienced educators across all areas of practice — including K-12 and higher-education teaching, curriculum development and instructional design, assessment and psychometrics, special education, tutoring and academic support, and educational technology. Contributors help build AI systems that reason about real educational work by translating everyday teaching, assessment, and instructional-design workflows, judgments, and decision-making into structured, high-quality training data. — Key Responsibilities — \- Design realistic educational scenarios and tasks drawn from your day-to-day work (e.g., lesson planning, assessment and item writing, grading against a rubric, differentiation and intervention, curriculum and unit design, IEPs and accommodations, student feedback) — \- Review and compare AI-generated educational outputs for accuracy, standards alignment (e.g., Common Core, NGSS, state or discipline standards), grade-level appropriateness, and sound pedagogical judgment — \- Create structured examples that reflect how educators actually reason through problems — \- Provide clear written feedback that improves how AI performs teaching and instructional tasks — \- Collaborate asynchronously with the research team — Ideal Qualifications — \- 3+ years of professional experience in education (K-12 or higher-ed teaching, curriculum/instructional design, assessment, special education, tutoring, or a related field) — \- A state teaching license/certification, National Board Certification, or an advanced degree (MEd/EdD/PhD or a subject master's) preferred, but not required — \- Bachelor's degree in Education or a subject-matter field — \- Comfortable with common classroom and instructional tools (e.g., Google Classroom, Canvas, an SIS such as PowerSchool, assessment and curriculum platforms) — \- Strong written communication and attention to detail — More About the Opportunity — \- Open to all education specialties and grade bands — contribute where your expertise is strongest — \- Work spans task design, evaluation, and structured feedback on AI educational outputs — \- Strong contributors advance into reviewer, lead, and domain-expert roles — Application Process — \- Submit a resume or a short summary of your teaching or education experience — \- Complete a short form on your field, specialties, and credentials — \- Selected applicants may complete a brief sample task — \- Follow-up typically provided within a few days

$45 - $60 / hourOpen / Referral verified
Business / Remote

Higher Education Expert

Role Overview • Mercor is seeking senior higher education professionals to build evaluation tasks for AI systems operating in large university and higher education institution contexts. • The workflows are calibrated to the academic complexity, stakeholder diversity, and institutional stakes of large research universities and higher education systems. • Contributors design higher education scenarios, draft reference outputs, and write rubrics that capture how senior faculty and university administrators think. — Key Responsibilities • Construct higher education scenarios spanning curriculum and program design, multi-stakeholder faculty senate or accreditation review, and complex institutional budget or enrollment planning cycles. • Build education tasks across academic program development, student affairs and retention, research administration and grant compliance, faculty governance, and institutional advancement/fundraising. • Develop higher-ed operations scenarios involving tools such as Banner/Workday Student, Canvas/Blackboard, CRM platforms for admissions and advancement, and research administration systems (Cayuse, InfoEd). • Apply higher education frameworks (accreditation standards, shared governance models, learning outcomes assessment, enrollment management strategy) and produce reference academic plans, accreditation documentation, and administrator/board-level communications. • Author rubrics that distinguish authentic higher education judgment from generic academic or policy-manual recall. — Ideal Qualifications • 5+ years working as faculty, an academic administrator, or in a senior operational role at a college, university, or higher education system. • Direct ownership of academic programs, enrollment/retention initiatives, research administration, or institutional strategic priorities. • Fluency in higher education tooling and frameworks, plus understanding of how university budgets, accreditation compliance, and shared governance actually work. • Prior rubric, curriculum-design, or faculty-training content authorship is a plus.

$60 - $70 / hourOpen / Referral verified
STEM / Remote

Applied History & Political Science Benchmark Specialist

Role Overview — We are seeking experts in history and political science to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core history and political science domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities. — You will be assigned one of two task types: • Question Authoring — Create original, challenging multiple-choice questions in your area of expertise, rate their difficulty, and submit them for review. • Question Verification — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made. — History & Political Science Domains Covered — National Security, Public Policy, Business History, Environmental History, Latin American History. — Key Responsibilities • Author original history and political science questions that test deep conceptual understanding, not surface-level recall • Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above) • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers • Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format • Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories) • For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made — Ideal Qualifications • PhD or doctoral candidate in History, Political Science, International Relations, or a closely related field • Master's degree considered for candidates with exceptional depth in a specific subdomain • Strong command of historiographical methods, political theory, and comparative analysis • Research publications or policy experience is a strong plus • Excellent written English and ability to express complex ideas clearly and concisely — More About the Opportunity • Expected commitment: 10+ hours/week • Asynchronous, fully remote work

$44 - $56 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Canadian French)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Canada-based voice actors with native Canadian French fluency and international French (neutral, accent-free) delivery to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. — Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native Canadian French speaker currently based in Canada, with the ability to speak international French — neutral, without strong regional accent • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability for 5-10 hours per week over the project duration • \[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case. — Preferred Qualifications • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 / hourOpen / Referral verified
Multimodal / Remote

Voice Actor: CX Agent Voice Cloning (Indonesian Bahasa - Female)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking Indonesia-based female voice actors who are native Bahasa Indonesia speakers to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. Fluency in English is a plus. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts. • * * — Key Responsibilities • Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.) • Deliver clear, natural, and expressive speech with strong control over tone, pacing, and pronunciation • Maintain consistency in voice, accent, and delivery across recording sessions • Follow detailed recording guidelines (environment, microphone setup, file formatting) • Perform multiple takes with variation in emotion, emphasis, and style when required — Requirements • Native Bahasa Indonesia speaker currently based in Indonesia • Proven experience in voice acting, dubbing, narration, podcasting, or broadcasting • Access to a professional or near-professional recording setup (quality microphone, quiet environment, pop filter, etc.) • Strong command of intonation, diction, and emotional range • Ability to follow scripts precisely while maintaining natural delivery • Reliable availability over the project duration • \[IMP\]: Your voice may be cloned for the clients CX AI Agent so please only apply if you are okay with voice cloning — Preferred Qualifications • Fluency in English in addition to Bahasa Indonesia • Experience recording for TTS, audiobooks, IVR systems, or AI voice datasets • Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper) • Ability to deliver multiple vocal styles (e.g., conversational, corporate, energetic, calm) • * *

$50 / hourOpen / Referral verified
Multimodal / Remote

Russian Audio Generalist Evaluator Expert (San Francisco Bay Area)

Mercor is seeking a Russian Audio Generalist Evaluator Expert to contribute to a high-impact audio AI research project with a leading research lab. In this role, you will work on transcription, annotation, and evaluation tasks that help train and benchmark advanced language models. This is a short-term, structured engagement ideal for candidates with strong academic or analytical backgrounds who are fluent in Russian and English and are based in the San Francisco Bay Area, enabling occasional in-person collaboration if required. — Job Responsibilities — Transcribe and Optimise Audio & Video • Listen to, analyse, and transcribe audio and video content in Russian, following detailed constraints and instructions. • Produce high-quality written outputs in Russian, with supporting work in English when required. • Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines. • Capture nuances such as tone, intent, formal vs. informal register, regional expressions, dialectal variations, and contemporary Russian usage where relevant. — Define and Document Evaluation Standards • Establish clear expectations for correct and high-quality responses in general consumer audio contexts. • Develop detailed evaluation rubrics and grading guidelines in Russian and English. • Document standards to ensure consistency across reviewers and model evaluations. • Identify linguistic nuances, grammatical complexities, colloquialisms, and edge cases specific to Russian. — Conduct Model Testing and Grading • Run prompts through language models and assess generated outputs. • Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity. • Provide structured feedback to improve model performance in Russian audio tasks. — Support Benchmarking and Quality Assurance • Participate in QA and review cycles to ensure tasks, rubrics, and outputs meet Mercor’s quality bar. • Maintain consistency and reliability before datasets are integrated into official benchmarks. • Collaborate with project leads to resolve ambiguities and improve task design. — Minimum Qualifications • Strong writing, editing, and critical thinking skills. • Ability to work independently, manage time effectively, and meet deadlines. • Native or near-native fluency in Russian (spoken and written) and professional fluency in English. • Strong familiarity with spoken Russian, regional vocabulary, dialects, and contemporary language usage. • Ability to accurately transcribe and analyse Russian audio content across general consumer contexts. • Must be based in the San Francisco Bay Area. • Available to commit 10–20 hours per week. — Preferred Qualifications • College students or recent graduates. • Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines. • Prior experience with transcription, annotation, localisation, evaluation, or research workflows in Russian. • Familiarity with regional variations of Russian and contemporary digital language usage. • Interest in AI, language models, or applied research environments. — Application & Onboarding Process • Complete a short AI-led interview (approximately 15 minutes). • If selected, you will be onboarded and invited to begin project work.

$50 / hourOpen / Referral verified
Business / United States Remote

Project Coordinator

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — Are you ready to help shape the future of artificial intelligence? Join a leading AI lab's cutting-edge GenAI team, where you'll be at the forefront of building groundbreaking AI models. We're seeking talented Project Coordinators to support and accelerate world-class AI research and data operations — acting as the operational bridge between program leadership and a growing team of domain experts. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. What You'll Do • Act as a day-to-day point of contact for AI data projects, helping keep workflows and operations running smoothly. • Work closely with program leads and domain experts — take inputs from leadership, turn them into clear guidelines, and share them with expert teams. • Help onboard and support new experts as the program grows. • Join weekly business reviews, keep notes and action items organized, and lead calls when needed. • Help spot quality issues, understand root causes, and share findings across teams. • Contribute to creating and refining project guidelines with research and product partners. • Flag potential roadblocks early and help get them resolved. • Track project deliverables using Google Sheets and Excel. • Stay flexible and adapt as project needs evolve. — 3. Qualifications • Location: Must be based in the USA. • Education: STEM background strongly preferred. • Experience: 3+ years in project coordination or project management, with the ability to coordinate large, cross-functional teams. • AI fluency: hands-on experience on AI training-data or human-data projects — as a project coordinator, team lead, EPM, or expert contributor. • Ideal: prior project coordination on AI/data programs at organizations like Meta, TikTok, or Amazon, or EPM/project-lead experience on Mercor projects or other AI tranining projects. • Skills: strong data management experience (Excel, SQL) and working knowledge of coding. • Leadership: prior people management experience or demonstrated ability to lead large groups effectively. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$45 - $55 / hourOpen / Referral verified
Code / India Remote

Software Engineer, Full Stack — India

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Full-Stack Software Engineers with hands-on production experience across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early. — This is a full-time engagement of 40 hours per week. — 2. Key Responsibilities • Build and ship full-stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end. • Integrate pre-release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry. • Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team. • Prototype quickly against shifting requirements, delivering working increments with limited up-front specification. • Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation. — 3. Core Qualifications • 3+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization. • Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language — this cohort is intentionally staffed across multiple language ecosystems. • Hands-on experience across the stack: backend services and APIs, a modern front-end framework (React or equivalent), relational or document databases, and cloud deployment. • Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up. • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly.

$25 - $30 / hourOpen / Referral verified