Role directory

Code jobs

53 active, referral-verified opportunities.

Code / Remote

Agent Engineer

We are looking for engineers who build and operate LLM agents in production, and who have real visibility into how agents are actually used inside a company. — You have probably: • Shipped an agent that real users depended on, and been on the hook when it broke. • Figured out how to tell whether an agent got better or worse after a change. • Run agents that outlive a single request: scheduled jobs, long-running work, cloud sandboxes. • Watched your org build an internal assistant, and seen who adopted it and who quietly did not. — We are especially interested in the layers most people do not talk about: internal monoagents wired into company data, shared company memory, reusable skills and playbooks, the tool and MCP surfaces agents call, and how anyone sees what agents did and what they cost. — Applying starts with a short conversational AI interview. No coding, no take-home. We want to hear how you actually think about agent reliability, evaluation, and adoption, and the tradeoffs you have made in real systems. Bring war stories. The messier and more specific, the better. — If that screen stands out, we will invite you to a live 30 minute conversation with our team. We pay $100 to $500 for that conversation, paid on completion of the call, with the amount depending on depth of experience. — If that sounds like you, apply and complete the screen. We review every submission.

$100 - $500 / 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
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
Code / Remote — Global

CAM Programming Expert (Fusion 360)

About the role We're building a high-quality evaluation dataset for CNC manufacturing and are looking for experienced CAM programmers to author grading rubrics for Fusion 360 CAM programs. You'll create text-only, objective, verifiable rubrics that determine whether a given CAM solution would be approved — or rejected — by an expert machinist for a production run, and provide the reasoning behind each criterion. You may also review existing CAM programs and explain why they pass or fail. — What you'll do • Author 10-criterion rubrics for grading Fusion 360 CAM programs across provided CAD models and machining context (stock, machine, tooling). • Write clear verification rationale for each criterion. • Review sample CAM solutions and explain pass/fail outcomes. — Minimum requirements • Hands-on Fusion 360 CAM experience, with access to a Fusion 360 license. • Ability to program 4- and/or 5-axis CNC toolpaths. • 5+ years of CAM programming experience. • Strong production judgment — able to tell what would and wouldn't run safely on a real machine. • Written English fluency (all deliverables are text-based). — Preferred • CAM instructor or teaching experience.

$120 - $175 / 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
Code / Remote

Software Engineer — Agentic Search Systems

We're looking for engineers who have shipped production search systems (especially agentic ones now that we're in the era of LLMs and agents) and are thinking hard about the requirements and optimizations of those systems. — You've probably: • Owned relevance or retrieval on a system real users depended on • Decided how to quantify impact and improvements with these systems. • Built out systems related to agentic search. • Scaled data infrastructure to power modern search systems. — This is a 25-minute conversational interview. No coding, no take-home. We want to hear how you actually think about search quality, evaluation, and the tradeoffs you've made in real systems. Bring war stories — the messier and more specific, the better. — If your interview stands out, we'll follow up with a paid 30-minute live conversation with our team — $200 for your time, paid on completion of the call. — If that sounds like you, apply and complete the interview. We review every submission.

$80 - $150 / per-taskOpen / 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
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
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
Code / Remote

Document/deck production QA Evaluator

About the role — We are hiring expert Evaluators in Document/deck production QA 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 Document/deck production QA. 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
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
Code / Remote

Frontend Engineer — Web Replication Preference Rater

About the work — We're building a high-quality dataset of human preference judgments on AI-generated frontend code. You'll be shown a reference web page alongside two candidate replications produced by AI models, and you'll decide which replication is better — then explain why in writing that a model can learn from. — This is evaluation work, not authoring. You won't be building sites from scratch. You'll be reading someone else's HTML and CSS, running it locally, comparing it pixel-by-pixel against a target, and articulating exactly where and why it falls short. — What you'll do • Render a reference page and two candidate replications side by side at desktop width and judge which is the closer reproduction. • Diff layout fidelity in detail: box model and spacing, typography (family, size, weight, line-height, letter-spacing), color and border treatment, image and asset handling, z-order and overflow. • Inspect the underlying markup with browser devtools to distinguish a replication that is genuinely correct from one that merely looks correct at one viewport — hardcoded pixel offsets, absolute positioning standing in for real layout, and inline styles that will not survive a resize. • Evaluate responsive behavior and semantic quality: whether flexbox and grid are used where they belong, whether legacy float or table layouts in the reference were reproduced faithfully, whether headings and landmarks carry real semantic meaning. • Write a structured rationale for every judgment — the specific defects you found, ranked by how much they matter, in language precise enough to be actionable. • Flag ties, ambiguous cases, and broken task items rather than forcing a preference. — You're a fit if you have • 3+ years of professional web development experience, primarily in frontend or full-stack work. • Fluency in hand-written HTML and CSS: semantic markup, flexbox, grid, media queries, and older float- and table-based layouts you can still read and reason about. • Working command of browser devtools — element inspection, computed styles, the box model, and the network panel. • Enough JavaScript to read a page's scripts and understand what they do to the DOM, even if you don't write JS daily. • Comfort in a terminal: cloning a folder and serving it over a local static server without help. • Strong written English and the discipline to justify a judgment rather than assert it. — Equipment • A desktop or laptop with a browser window that opens to at least 1920px wide. • Administrator rights on your own machine, so you can install and run a local server. — Nice to have • Prior RLHF, preference labeling, or model evaluation work. • A code review or technical assessment background. • Pixel-perfect design-to-code experience — translating Figma or PSD comps into production markup. • Web accessibility expertise (WCAG, ARIA, screen reader testing). • Familiarity with how LLMs typically fail at codegen. • Web scraping or DOM parsing experience. — Note: this seat is for practicing web developers. Backend-only, mobile-native-only, data science, DevOps, and design-without-code backgrounds are out of scope for this project.

$90 / 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
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
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
Code / North America (US & Canada) Remote

CAD Engineer — ScreenSpot Plus (Screenshot Capture & UI Annotation)

About the Role — You've been selected for ScreenSpot Plus, where you'll capture screenshots of professional CAD software in realistic, expert use, annotate interactive UI elements, and write natural-language task instructions. — The project begins with a pilot phase, during which your initial submissions will be closely reviewed for quality before you ramp into full production. Detailed onboarding materials and capture guidelines will be shared once you accept. — What You'll Do • Capture high-quality screenshots of professional CAD software during realistic, expert workflows • Annotate interactive UI elements (buttons, menus, panels, toolbars, dialogs) accurately and consistently • Write clear, natural-language task instructions that reflect how an expert actually uses the software • Iterate on feedback during the pilot phase to meet quality standards before scaling to full production — Who We're Looking For • Hands-on, professional experience with CAD software (e.g., AutoCAD, SolidWorks, Fusion 360, CATIA, Revit, Siemens NX, or similar) • Strong working knowledge of the day-to-day workflows and interface of your CAD tools • Attention to detail and the ability to follow precise annotation and capture guidelines • Clear written English for task instructions • Reliable access to the relevant CAD software for capturing screenshots

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

Litigation Expert

Role Overview • Mercor is seeking senior litigation professionals to build evaluation tasks for AI systems operating in civil litigation and dispute resolution contexts. • The workflows are calibrated to the case complexity, evidentiary stakes, and procedural scope of major commercial litigation and complex disputes. • This role builds worlds on two tracks: a US track (Federal Rules of Civil Procedure, Federal Rules of Evidence, state court analogs) and an International track (English Civil Procedure Rules, international arbitration rules such as ICC and LCIA). Experts qualified in either or both tracks are encouraged to apply. • Contributors design litigation scenarios, draft reference outputs, and write rubrics that capture how senior litigators think. — Key Responsibilities • Construct litigation scenarios spanning pre-trial discovery, motion practice, trial strategy, and settlement or arbitration processes. • Build tasks across commercial litigation, complex and class action litigation, discovery and evidence management, trial advocacy, and appellate practice. • Develop scenarios involving tools such as e-discovery platforms (Relativity, Everlaw), litigation management software, and deposition/trial preparation tools used on major matters. • Apply litigation methodologies (case strategy development, discovery and evidence analysis, motion drafting) to the standards track a world targets (US: FRCP, Federal Rules of Evidence, state court rules; International: CPR, international arbitration rules), and produce reference pleadings, discovery responses, motions, and trial memoranda. • Author rubrics that distinguish authentic litigation judgment from generic law school or bar exam-level recall. — Ideal Qualifications • 5+ years working as a litigator or trial attorney at a major litigation firm or corporate litigation department (Quinn Emanuel, Gibson Dunn, Boies Schiller Flexner, Kirkland & Ellis, or in-house litigation counsel). • Direct ownership of complex commercial litigation matters, with trial or arbitration experience. • Fluency in litigation tooling and methodologies, plus understanding of how court procedure, discovery, and evidentiary rules actually work. • A recognized professional credential is strongly preferred (JD with bar admission, or an international equivalent such as Barrister or Solicitor with advocacy rights); prior rubric or training authorship is a plus.

$90 - $100 / 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
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
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
Code / Remote

Cybersecurity Expert

Role Overview • Mercor is seeking senior cybersecurity professionals to build evaluation tasks for AI systems operating in security operations, incident response, and risk management contexts. • The workflows are calibrated to the threat sophistication, business risk stakes, and scope of major enterprise security programs. • This role builds worlds on two tracks: a US track (NIST Cybersecurity Framework, SOC 2) and an International track (ISO 27001, EU NIS2 Directive). Experts qualified in either or both tracks are encouraged to apply. • Contributors design cybersecurity scenarios, draft reference outputs, and write rubrics that capture how senior security leaders think. — Key Responsibilities • Construct cybersecurity scenarios spanning security operations center monitoring, incident response and forensics, vulnerability management, and security architecture design. • Build tasks across security operations and threat detection, incident response and digital forensics, vulnerability and penetration testing, security architecture and engineering, and governance/risk/compliance. • Develop scenarios involving tools such as SIEM platforms (Splunk, Microsoft Sentinel), EDR tools (CrowdStrike), vulnerability scanners (Tenable, Qualys), and GRC platforms used at major enterprises. • Apply cybersecurity methodologies (threat modeling, incident response playbooks, risk assessment) to the standards track a world targets (US: NIST CSF, SOC 2; International: ISO 27001, NIS2), and produce reference incident reports, security assessments, architecture designs, and compliance documentation. • Author rubrics that distinguish authentic security judgment from generic textbook or certification-exam-level recall. — Ideal Qualifications • 5+ years working as a security engineer or CISO at a major company or security firm (Mandiant, CrowdStrike, or an in-house CISO/security lead). • Direct ownership of incident response programs, security architecture, or compliance initiatives. • Fluency in security tooling, plus understanding of regulatory frameworks and the current threat landscape. • A recognized professional credential is strongly preferred (CISSP, CISM, or an international equivalent); prior rubric or training authorship is a plus.

$80 - $90 / 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
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
Code / Remote

Civil Engineering Expert

Role Overview • Mercor is seeking senior civil engineering professionals to build evaluation tasks for AI systems operating in large-scale infrastructure and construction contexts. • The workflows are calibrated to the design complexity, public safety stakes, and regulatory scope of major infrastructure projects and large public/private construction programs. • This role builds worlds on two standards tracks: an International track (Eurocodes and ISO) and a US track (ASCE, ACI, AISC, AASHTO). Experts qualified in either or both tracks are encouraged to apply. • Contributors design civil engineering scenarios, draft reference outputs, and write rubrics that capture how senior civil engineering leaders think. — Key Responsibilities • Construct civil engineering scenarios spanning large-scale infrastructure design cycles, multi-stakeholder permitting and regulatory review, and complex construction management or public works processes. • Build tasks across structural design and analysis, transportation and highway engineering, water resources and environmental engineering, geotechnical engineering, and construction project management. • Develop engineering scenarios involving tools such as AutoCAD Civil 3D, Revit, STAAD.Pro/ETABS, HEC-RAS, and enterprise project management platforms used on major infrastructure programs. • Apply civil engineering methodologies (structural load analysis, geotechnical site assessment, hydrology/hydraulic modeling) to the standards track a world targets (US: ASCE 7, ACI 318, AISC 360, AASHTO LRFD; International: Eurocodes EN 1990-1998 and ISO), and produce reference design plans, engineering calculations, and stakeholder/regulatory-facing technical narratives. • Author rubrics that distinguish authentic civil engineering judgment from generic textbook or coursework-level recall. — Ideal Qualifications • 5+ years working as a civil engineer or engineering lead • Direct ownership of large-scale infrastructure designs, permitting processes, or construction project delivery. • Fluency in civil engineering tooling and methodologies, plus understanding of how regulatory approvals, environmental review (NEPA or an international equivalent), and public agency oversight actually work. • A recognized professional engineering credential is strongly preferred (US PE, or an international equivalent such as CEng, EUR ING, or P.Eng); prior rubric, engineering-training curriculum, or design documentation authorship is a plus.

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

Network Engineer - Data for Autonomous Systems annotation

Are you a Level 3 / Tier 3 network support engineer interested in data science and autonomous infrastructure? Our client is building vertically integrated networking systems and using the data they generate to power the next generation of AI-driven infrastructure. They're looking for engineers experienced in final escalations, packet analysis, troubleshooting, and RCA workflows to help label, annotate, and structure networking data from real production systems. — This is a hands-on role that blends your L3 troubleshooting and incident-response experience with a growing understanding of how data pipelines are built and used in AI systems. — In this role, you'll: • Review real-world data from deployed networks: logs, configs, telemetry, event streams • Label and classify network behaviors, issues, anomalies, and incident patterns • Help define schemas and structure for large-scale data pipelines that downstream ML models will train on — You're a strong fit if you: • Work today as a Level 3 / Tier 3 / Principal Support Engineer keeping existing enterprise infrastructure online and stable — on-call rotation, RCAs, final escalations, troubleshooting outages — Must Have • Have hands-on experience with end-customer enterprise networks (switches, APs, firewalls in retail, healthcare, financial, manufacturing, university, hospitality, etc.) — Must Have • Bring hands-on Wi-Fi/wireless proficiency — enterprise WLAN controllers (Cisco WLC, Aruba, or Meraki), 802.1X/RADIUS, and wireless troubleshooting — Must Have • Do packet-level troubleshooting yourself — Wireshark, tcpdump, SPAN captures • Are curious about how raw infra data becomes machine learning input — This is a maintainer role — likely not the right fit if your current work is mainly network design/architecture, cloud/SRE, security/SOC, or IT helpdesk. — Your work will directly feed into the pipelines that power client's AI models, and help shape how intelligent systems reason about networks in the real world. — Here are more details about the role: • You will interface directly with the client team. • You are expected to work 30-40 hours/week, with your hours overlapping the Pacific (PT) business day. • This is an individual 1099 contract paid to a personal account — no corp-to-corp or agency billing. • You must be authorized to work in the US or Canada without sponsorship.

$50 - $70 / 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
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
Code / Remote

Moonlight MCQA - Norwegian Generalist

Write original general-knowledge multiple-choice questions in Norwegian for an AI evaluation dataset. — You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours. — Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in Norway, native-level Norwegian.

$48.51 - $59.29 / hourOpen / Referral verified
Code / Remote

Audio Engineer (Speech / TTS Audio Specialist) – German

Overview We're looking for audio engineers with strong experience editing and quality-checking voice recordings for speech and text-to-speech (TTS) applications, specifically for German-language audio. This role focuses on preparing high-quality audio datasets for machine learning systems, ensuring clarity, consistency, and technical compliance across large volumes of German speech data. Native or near-native German fluency is required to accurately assess speech quality, pronunciation, and naturalness. • * * — What You'll Do • Edit and process German voice recordings for use in TTS and speech AI systems • Perform audio cleanup including silence trimming, breath reduction/removal, de-clicking, de-essing, and noise reduction • Conduct detailed quality assurance checks for: • Clipping and distortion • Background noise and artifacts • Loudness consistency and level balancing • Ensure audio meets strict technical specifications for ML training pipelines • Evaluate recordings for German pronunciation accuracy, naturalness, and fluency • Work with large batches of recordings, maintaining consistency and throughput • Collaborate with teams working on German speech datasets, voice talent recordings, and model training workflows • * * — Basic Qualifications • Native or near-native German speaker with strong listening intuition for German speech nuances • Experience editing speech or voice recordings (not just music production) • Strong understanding of speech audio quality standards and common issues in recorded dialogue • Hands-on experience with tools like iZotope RX, Pro Tools, or similar audio restoration software • Ability to identify and fix artifacts, inconsistencies, and technical defects in audio • Experience working with high-volume audio datasets or structured workflows • * * — Preferred Qualifications • Experience working with TTS vendors or platforms • Prior involvement in speech ML, voice AI, or dataset creation/annotation workflows • Familiarity with audio QA pipelines, labeling, or evaluation processes • Experience directing or editing German voice talent recordings • * * — Ideal Candidate Profile • Detail-oriented with strong critical listening skills in German • Comfortable working with repetitive, high-precision tasks at scale • Able to balance speed and quality in production environments • Familiar with the nuances of human German speech vs synthetic voice requirements

$50 / hourOpen / Referral verified
Code / Remote

Audio Engineer (Speech / TTS Audio Specialist) – French

Overview We're looking for audio engineers with strong experience editing and quality-checking voice recordings for speech and text-to-speech (TTS) applications, specifically for French-language audio. This role focuses on preparing high-quality audio datasets for machine learning systems, ensuring clarity, consistency, and technical compliance across large volumes of French speech data. Native or near-native French fluency is required to accurately assess speech quality, pronunciation, and naturalness. • * * — What You'll Do • Edit and process French voice recordings for use in TTS and speech AI systems • Perform audio cleanup including silence trimming, breath reduction/removal, de-clicking, de-essing, and noise reduction • Conduct detailed quality assurance checks for: • Clipping and distortion • Background noise and artifacts • Loudness consistency and level balancing • Ensure audio meets strict technical specifications for ML training pipelines • Evaluate recordings for French pronunciation accuracy, naturalness, and fluency • Work with large batches of recordings, maintaining consistency and throughput • Collaborate with teams working on French speech datasets, voice talent recordings, and model training workflows • * * — Basic Qualifications • Native or near-native French speaker with strong listening intuition for French speech nuances • Experience editing speech or voice recordings (not just music production) • Strong understanding of speech audio quality standards and common issues in recorded dialogue • Hands-on experience with tools like iZotope RX, Pro Tools, or similar audio restoration software • Ability to identify and fix artifacts, inconsistencies, and technical defects in audio • Experience working with high-volume audio datasets or structured workflows • * * — Preferred Qualifications • Experience working with TTS vendors or platforms • Prior involvement in speech ML, voice AI, or dataset creation/annotation workflows • Familiarity with audio QA pipelines, labeling, or evaluation processes • Experience directing or editing French voice talent recordings • * * — Ideal Candidate Profile • Detail-oriented with strong critical listening skills in French • Comfortable working with repetitive, high-precision tasks at scale • Able to balance speed and quality in production environments • Familiar with the nuances of human French speech vs synthetic voice requirements

$50 / hourOpen / Referral verified
Code / Remote

Moonlight MCQA - Chinese (Simplified) Generalist

Write original general-knowledge multiple-choice questions in Chinese (Simplified) for an AI evaluation dataset. — You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours. — Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in China, native-level Chinese (Simplified).

$39.69 - $48.51 / hourOpen / Referral verified
Code / Remote

Moonlight MCQA - Chinese (Traditional) Generalist

Write original general-knowledge multiple-choice questions in Chinese (Traditional) for an AI evaluation dataset. — You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours. — Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in Taiwan or Hong Kong, native-level Chinese (Traditional).

$39.69 - $48.51 / hourOpen / Referral verified
Code / Remote

Moonlight MCQA - Czech Generalist

Write original general-knowledge multiple-choice questions in Czech for an AI evaluation dataset. — You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours. — Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in Czechia, native-level Czech.

$33.96 - $41.5 / 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
Code / Remote

Moonlight MCQA - Arabic Generalist

Write original general-knowledge multiple-choice questions in Arabic for an AI evaluation dataset. — You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours. — Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in an Arabic-speaking country, native-level Arabic.

$24.26 - $29.65 / hourOpen / Referral verified
Code / Remote

AI Data Generalist — Egocentric Video Review

About the Role — We are looking for 5 detail-oriented generalists to support a series of short-term projects involving egocentric (first-person) video data. The engagement will run for approximately 2 weeks, covering 3 projects, with each individual project expected to last between 3 days and 1 week. The first project is expected to begin Monday morning 17th August (PST). — What You’ll Do — You will review egocentric video data and complete structured quality-review tasks according to project-specific guidelines. The work requires strong attention to detail, consistency, and the ability to make precise judgments about actions occurring in first-person video. — Project 1: Action Segment Boundary Review — For the first project, you will review the boundaries of action segments within egocentric videos. — Dataset • 50 egocentric videos • Approximately 1–2 minutes per video • Approximately 38 action segments per video on average • Estimated review time: ~30 minutes per video — Responsibilities • Review action segments identified within each video • Determine whether segment start and end boundaries accurately correspond to the action being performed • Adjust or flag incorrect boundaries according to provided guidelines • Maintain consistent judgment across a high volume of short action segments • Complete assigned videos within the project timeline — Additional egocentric-data projects will follow during the 2-week engagement. Detailed instructions will be provided at the start of each project. — Who We’re Looking For — You may be a strong fit if you: • Have excellent attention to detail and visual comprehension • Can carefully distinguish between closely related actions and moments in video • Are comfortable performing structured, repetitive review work while maintaining accuracy • Can quickly learn and consistently apply detailed annotation guidelines • Have strong written English communication skills — Prior experience with video annotation, data labeling, computer vision datasets, or egocentric video is helpful but not required. — Engagement Details • Openings: 5 • Duration: Approximately 2 weeks • Projects: 3 short-term projects • Individual project duration: Approximately 3 days to 1 week • First project start: Monday morning PST

$20 - $25 / hourOpen / Referral verified
Code / Sri Lanka Remote

Sinhala Voice & QA Experts

Mercor is hiring on behalf of a leading AI company for Sinhala Voice & QA Experts. You will place and evaluate Sinhala-language voice conversations to help build and quality-check AI-powered voice agents. — This is a remote, hourly engagement open to candidates based in Sri Lanka, with an immediate start. — Responsibilities • Make outbound calls in Sinhala following provided scenarios • QA those calls for accuracy, tone, clarity, and naturalness • QA other Sinhala conversations and flag linguistic or quality issues • Provide clear written feedback • Participate in check-ins as needed — Requirements • Native or fluent Sinhala speaker • Based in Sri Lanka • Strong attention to detail • Clear written communication — Nice to Have • Customer service experience • Data annotation / QA experience — Engagement Details • Remote, hourly • Immediate start — onboarding as soon as possible • Short onboarding • Ongoing scenario testing and QA

$8 - $12 / hourOpen / Referral verified