Role directory

Clinical reasoning jobs

73 active, referral-verified opportunities.

Medical / Remote — US-based or deep US-market experience

Disease-Area Clinician — Trial Endpoints & Prescribing

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

$150 - $230 / hourOpen / Referral verified
Finance / Remote — US-based or deep US-market experience

Biotech Investment Analyst — Drug Asset & Company Assessment

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

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

Clinical Law Professor / Clinic Director

Mercor is seeking experienced Clinical Law Professors and Clinic Directors to evaluate AI-generated legal reasoning involving civil legal services. Experts will combine doctrinal knowledge, legal pedagogy, and practical supervision experience to assess AI-generated legal analyses. • * * — Responsibilities • Evaluate AI-generated legal responses. • Review issue spotting, legal reasoning, and procedural analysis. • Assess scenarios involving housing, family, consumer, and debt law. • Provide structured feedback to improve AI systems. • Apply experience supervising law students and live-client clinics. • * * — Required Qualifications • Juris Doctor (JD). • Current or previous U.S. bar admission. • Experience directing or supervising a law school clinic. • Expertise in one or more civil legal practice areas. • Strong legal writing and evaluation skills. • * * — Preferred Qualifications • Clinical Professor of Law or Clinic Director. • Experience with housing, family, consumer, elder, or disability law clinics. • Experience developing legal curriculum or assessment rubrics. • Published scholarship or educational materials. • * * — Why Join Mercor? • Help build more accurate AI for legal education and practice. • Bring your clinical teaching expertise to emerging legal technologies. • Short-term, intellectually engaging project. • Competitive compensation. • * * — Engagement Details — Location: Remote — Commitment: Approximately 15 hours/week — Project Duration: Estimated 2–3 weeks

$180 / hourOpen / Referral verified
Finance / Remote

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

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

$162 / hourOpen / Referral verified
Finance / Bay Area, CA

Investment Banking & M&A - Finance Domain Expert

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

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

Partner & General Counsel - Legal Domain Expert

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

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

Private Equity & Venture Capital - Finance Domain Expert

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

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

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

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

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

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

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

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

Psychiatry Expert

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

$150 / hourOpen / Referral verified
Legal / Remote

Law Experts

Role Overview • Mercor is seeking senior legal professionals to build evaluation tasks for AI systems operating in Fortune 500 legal contexts. • The workflows are calibrated to the regulatory complexity, transaction scale, and risk posture of Fortune 500 and large public companies. • Contributors design realistic enterprise legal scenarios, draft model-grade reference work, and write rubrics that distinguish strong legal reasoning from surface-level output. — Key Responsibilities • Construct enterprise legal scenarios across in-house counsel, regulatory, transactional, and litigation work for F500-scale organizations. • Draft and review materials grounded in enterprise compliance regimes (FCPA, SOX, GDPR, HIPAA, sector-specific regulation in banking, healthcare, pharma, and insurance). • Build tasks around enterprise contracting at material scale (MSAs, SOWs, DPAs, licensing) and M&A diligence for F500 transactions. • Develop ERM and COSO-aligned risk scenarios, board-level reporting, and regulated-industry investigations. • Author detailed, criterion-referenced rubrics that capture the judgment a senior F500 lawyer would apply. — Ideal Qualifications • 2+ years as in-house counsel at a Fortune 500 or large public company, or as a partner / senior associate at an AmLaw 100 firm representing F500 clients. • Deep exposure to one or more enterprise practice areas: M&A, securities, regulatory, employment, IP, privacy, or commercial contracting at F500 scale. • Familiarity with CLM platforms (Ironclad, Agiloft, Icertis) and enterprise GRC tooling. • JD with active bar admission. Prior rubric, exam, or training-content authorship is a plus. — Compensation Note • Hourly Pay: $110 to $150 per hour, set by Mercor based on demonstrated expertise. • Minimum Commitment: 20 hours per week. • Onboarding via the Mercor Rubric Academy, a paid program that calibrates contributors to the quality bar before live work. • Advancement: strong contributors move into reviewer, lead, and domain SME roles with elevated rates.

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

Patient Financial Clearance Leader

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

$135 / hourOpen / Referral verified
Medical / Remote (United States)

Medicare Advantage Members (Devoted Health) – Insight Study

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

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

Senior Counsel — Legal Domain Expert

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

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

Healthcare / clinical Evaluator

About the role — We are hiring expert Evaluators in Healthcare / clinical 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 Healthcare / clinical. 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
Medical / Remote

Applied Health & Medicine Benchmark Specialist

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

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

Healthcare operations Evaluator

About the role — We are hiring expert Evaluators in Healthcare operations 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 Healthcare operations. 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 / 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
Legal / Remote

Applied Legal Benchmark Specialist

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

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

Molecular Biology Experts

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

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

Prior Authorisation Manager

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

$105 / hourOpen / Referral verified
Medical / Remote

Insurance Verification & Benefit Manager

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

$105 / hourOpen / Referral verified
Medical / Remote

Clinical / biomedical / pharma Evaluator

About the role — We are hiring expert Evaluators in Clinical / biomedical / pharma 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 Clinical / biomedical / pharma. 2. Native or professional fluency in English. 3. Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint). — Preferred (nice to have) • Advanced degree (Master's or higher) from a reputable institution. — What you'll do • Evaluate AI-generated artifacts against domain-specific quality rubrics. • Identify factual, aesthetic, and presentation errors. • Provide clear, structured written feedback.

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

Finance Domain Expert — AI Training & Evaluation

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

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

Legal Domain Expert — AI Training & Evaluation

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

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

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

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

$100 / hourOpen / Referral verified
Finance / Remote

Patient Financial Services Leader

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

$92 / hourOpen / Referral verified
Legal / Remote

Regulatory Law Expert

Role Overview • Mercor is seeking senior regulatory law professionals to build evaluation tasks for AI systems operating in regulatory compliance and government affairs contexts. • The workflows are calibrated to the regulatory complexity, enforcement stakes, and scope of major regulated-industry compliance programs. • This role builds worlds on two tracks: a US track (Administrative Procedure Act and agency-specific statutes such as SEC, FDA, and FTC rules) and an International track (EU regulatory frameworks and UK regulatory bodies). Experts qualified in either or both tracks are encouraged to apply. • Contributors design regulatory law scenarios, draft reference outputs, and write rubrics that capture how senior regulatory counsel think. — Key Responsibilities • Construct scenarios spanning regulatory compliance program design, agency investigations and enforcement actions, and rulemaking or comment processes. • Build tasks across financial services regulation, healthcare and FDA regulation, antitrust and competition law, data privacy and cybersecurity regulation, and environmental and energy regulation. • Develop scenarios involving tools such as regulatory tracking platforms, compliance management systems, and agency filing systems used across regulated industries. • Apply regulatory law methodologies (regulatory interpretation, compliance risk assessment, enforcement response strategy) to the standards track a world targets (US: Administrative Procedure Act, agency-specific statutes and regulations; International: EU regulations and directives, UK regulatory frameworks), and produce reference compliance memoranda, regulatory filings, and enforcement response documents. • Author rubrics that distinguish authentic regulatory judgment from generic law school or bar exam-level recall. — Ideal Qualifications • 5+ years working as a regulatory attorney or compliance counsel at a major law firm, regulated company, or government agency (Covington & Burling, Sidley Austin, WilmerHale, or in-house regulatory/compliance counsel at a bank, pharmaceutical company, or technology company). • Direct ownership of regulatory compliance programs, agency interactions, or enforcement matters. • Fluency in regulatory tooling, plus understanding of how administrative process and agency rulemaking actually work. • A recognized professional credential is strongly preferred (JD with bar admission, or an international equivalent); prior rubric, training, or compliance documentation authorship is a plus.

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

Enterprise Sales Domain Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is teaching its AI to do real enterprise sales work — the kind of multi-step, judgment-heavy workflows that only someone who has actually carried a quota knows how to get right. To do that well, they need seasoned sellers to act as the ground truth: people who can show the model what excellent looks like, catch where it goes wrong, and set the bar its work is measured against. — That is where you come in. As a Sales Domain Expert, you will bring years of real selling experience to auditing sales workflows, building the "golden" reference examples the model learns from, and shaping the rubrics used to evaluate it. This is a role for accomplished enterprise sellers — not general data annotators. — 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. — 2. What You'll Do • Set the standard for "good": Review multi-step enterprise sales workflows and judge whether the AI handled them the way a strong seller would, flagging what is off and why. • Build golden trajectories: Work real sales tasks end-to-end — prospecting, pipeline management, CRM hygiene, reporting, and customer-facing documents — to create the expert reference examples the model is trained on. • Shape the evaluation: Pressure-test and refine the rubrics used to score AI outputs so they capture what actually separates great selling from average. • Work in realistic sandboxes: Operate inside test environments that mirror a real sales tech stack, completing and simulating workflows across CRM, communication, and billing tools. • Produce senior-level artifacts: Create polished, customer-facing materials — pitches, slide decks, and summaries — at the quality a senior sales leader would put their name on. — 3. Who We're Looking For • Around 10 years of hands-on experience selling in enterprise environments, with a real feel for the full sales cycle. • A consistent track record of meeting or exceeding your sales quota, which you can speak to in specifics. • Sellers at every level are welcome — quota-carrying individual contributors, managers who lead selling teams, and VPs running regional or global sales organizations. • Day-to-day fluency with the standard enterprise stack (Salesforce, Jira, Confluence, Google Workspace, and Microsoft Office), and the comfort to pick up tools like Slack, HubSpot, Notion, Aircall, Stripe, Intercom, Zoho, and Microsoft Teams. • Genuine depth in CRM administration, sales process management, pipeline tracking, and data-driven reporting. • Strong writing and a good eye for polish — you can turn a complex situation into a clear, professional, customer-facing artifact. — Nice to Have • Experience working within or alongside a two-sided, AI-powered B2B SaaS creator marketplace — for example, running outcome-based campaigns against contracted performance targets (tracking views, engagement, installs, and sign-ups in real time) and troubleshooting across a connected stack such as Zoho CRM, Jira, Confluence, Freshdesk, Microsoft Teams, and Google Workspace. If this sounds like you, tell us — we are especially keen to talk. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified
Medical / Playa Vista, CA or New York, NY Remote

Character and Facial Animation Consultant

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 a performance transfer model: one that takes an actor's original performance and carries it faithfully into a new output, holding on to the timing, the emotion, and the small physical choices that make it feel real. The team believes AI should honor the craft of performance, not flatten it. — To get the evaluation right, we are bringing in senior character animators to help define what "good" looks like, critique the current evaluation approach, and shape the pool of reviewers who score model outputs. — This is a part-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. — 2. Key Responsibilities • Establish evaluation standards: Define clear criteria for when a performance has been captured well, both in emotional resonance and physical fidelity, and point out where current evaluations fall short. • Curate benchmarks: Identify strong examples of performances that are easy to capture and ones that are genuinely hard, so the model has meaningful tests to measure against. • Shape the evaluation pool: Help define the right profile, expertise mix, and rubric for the human reviewers who assess outputs at scale. • Collaborate with other experts: Work alongside fellow subject-matter experts to keep evaluations consistent and accurate. — 3. Core Qualifications • 4+ years as a hands-on character animator, with human or character _performance_ as your core craft. • Verifiable credits on 2 or more feature films, animated features, or AAA game cinematics at recognized studios. • Direct experience with facial animation and/or performance capture — facial keyframe work, motion-capture solving, cleanup or motion editing, or character technical design of facial and performance rigs. • A meticulous eye for micro-expressions, emotional beats, and the subtleties that make a human performance feel authentic. • AI proficiency: familiarity with AI tools and workflows, including the ability to generate your own visual samples for testing and comparison. • The ability to translate complex visual details into clear, precise language that can be captured in data captions and evaluation templates. • Able to come on-site in Playa Vista (Los Angeles), CA or New York, NY for in-person working sessions once or twice a month. • (Optional) Reliable access to a 4K-resolution monitor for precise, pixel-level review. — 4. Who this role is not for — This role is specifically for animators whose primary craft is character performance. It is not a fit for directors of photography, lighting or camera specialists, colorists, compositors, editors, or generalist 3D artists. Layout, previsualization, environment and effects work will not qualify on their own. — 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

LLM Red Team Specialist — Failure Modes & Edge Cases

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

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

QA/Test Engineer

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

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

STEM Researcher — Computational Fields

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

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

Data Science & Quantitative Analysis Expert

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

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

Machine Learning Engineer — Model Evaluation & Experimentation

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

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

Software Engineering Expert

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

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

Architecture Expert

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

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

Civil Engineering Expert

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

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

Chemical Engineering Expert

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

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

Mechanical Engineering Expert

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

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

Electrical Engineering Expert

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

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

Finance Specialist

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

$65 - $90 / hourOpen / Referral verified
Multimodal / Remote, United States (PST to EST hours)

Visual Quality Expert (Film, VFX & Animation)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking senior image quality experts from film, VFX, animation, and professional photography — VFX and rendering supervisors, colorists, cinematographers, lighting artists, and high-end photographers — with a strong foundation in visual perception, light physics, and pixel-level scrutiny. You will judge, frame by frame, whether an enhanced or upscaled image actually holds up, catching the compression artifacts, noise, aliasing, grain-structure inconsistency, and over- or under-sharpening that typically go unnoticed by the average viewer. — This is a part-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. — 2. Key Responsibilities • Evaluate high-resolution video and stills at pixel level, identifying compression artifacts, noise, aliasing, banding, grain-structure inconsistency, and over- or under-sharpening. • Apply an uncompromising focus on the intricate details that typically go unnoticed, and flag where output diverges from professional image-quality standards. • Design and refine evaluation templates and rating guidelines so reviewers apply the same visual-quality bar consistently, including under edge cases. • Translate complex visual details into clear, precise descriptive language that can be captured in data captions and evaluation templates. • Generate your own visual samples for targeted testing and side-by-side comparison. • Collaborate with other subject matter experts and program leads to maintain visual consistency across sequences and across reviewers. — 3. Core Qualifications • 5+ years of professional experience in high-end visual evaluation across film, VFX, animation, or professional photography. • Direct professional experience in at least one of the following disciplines: • Visual Effects (VFX) Supervisor — the authority on final image quality, with an elite eye for pixel-level flaws, grain-structure inconsistencies, and visual artifacts. • Rendering Supervisor — accustomed to running dailies and taking ultimate responsibility for visual quality down to the absolute pixel. • Lighting Supervisor, Lead, or Artist — a specialist in illumination and the foundational building blocks of digital video and cinematic motion. • Colorist — deep expertise in color grading, artifact detection, and maintaining visual consistency across sequences. • Director of Photography (DP) or Cinematographer — skilled at framing, capturing visual performance, and critically evaluating over- and under-sharpness in high-resolution images. • Effects or Surfacing Artist — strong command of textures, materials, and the complex simulation of visual elements. • High-End Photographer — deep command of lighting dynamics, depth of field, and color artifacts in high-resolution captures. • Director — particularly those with deep experience directing crowd and background action. • Digital Projectionist — a rigorously trained eye for final-output quality, screen-level fidelity, and visual anomalies. • Training from a university or program with a highly respected film, visual effects, or digital media program. • Reliable access to a 4K-resolution monitor or display to perform precise, pixel-level evaluation. • Familiarity with AI tools and workflows, including the ability to generate your own visual samples for testing and comparison. • Ability to engage reliably for 20 hours per week, with working hours overlapping the PST to EST window. • Fluent in English, with the exceptional ability to translate complex visual details into clear, precise descriptive language. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

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

Medical Revenue Manager

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

$88 / hourOpen / Referral verified
Finance / Remote

Payment-posting & Reconciliation Manager

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

$85 / hourOpen / Referral verified
Finance / Remote

Underpayment & Managed-care Contract Specialist

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

$85 / hourOpen / Referral verified
Medical / Remote

Clinical Documentation Integrity (CDI) Leader

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

$84 / hourOpen / Referral verified
Medical / US Remote

Healthcare Expert

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

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

Marketing Specialist

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

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

Insurance Specialist

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

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

Retail Specialist

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

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

Medical Billing Manager

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

$80 / hourOpen / Referral verified
Code / Remote

Coding Manager / HIM Coding Leader

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

$80 / hourOpen / Referral verified
Medical / Remote

Patient Access Leader

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

$80 / hourOpen / Referral verified
STEM / Remote

Applied Biology Benchmark Specialist

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

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

A/R Follow-up Manager

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

$75 / hourOpen / Referral verified
Medical / Remote

Pharmacy Prior Authorization & Specialty-Medication Access Specialist

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

$75 / hourOpen / Referral verified
Legal / US Remote

Legal Expert

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

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

Finance Specialist — CFA/ACA/ACCA/CPA Required

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

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

Denials Management & Appeals Manager

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

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

Project Coordinator - AI & Data Projects

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

$45 - $70 / hourOpen / Referral verified
Code / United States Remote

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

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

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

AI Rater Guidelines Writer (Linguist / Instructional Designer)

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

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

Applied Psychology Benchmark Specialist

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

$50 - $63 / hourOpen / Referral verified
Finance / United States Remote

Finance Program Coordinator — AI Training Data Operations

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 a talented Program Coordinator with a finance background to bring hands-on coordination and organizational rigor to our AI training data program, keeping finance-specific tasks and rater teams on track and consistent. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide day-to-day coordination between finance-domain raters and the broader training-data program to close execution gaps and keep work on schedule. • Design and maintain task-tracking, escalation, and quality-check workflows specific to finance evaluation tasks. • Evaluate rater throughput and quality signals on finance tasks and provide clear, written status updates and feedback. • Triage and resolve finance-specific rater questions, escalating ambiguous cases to subject matter experts. • Collaborate with subject matter experts and program leads to ensure consistency and accuracy across finance training data. — 3. Core Qualifications • 5–10 years of professional experience in finance or finance operations, with a track record of coordinating cross-functional teams or projects. • Direct experience managing or coordinating a team of contributors/reviewers (raters, analysts, or similar) against deadlines and quality bars. • Demonstrable career progression (e.g., Analyst → Senior Analyst → Program/Project Coordinator). • Ability to engage reliably for at least 35 hours/week during weekdays. • Strong verbal and written communication skills, organizational skills, and problem-solving skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$40 - $60 / hourOpen / Referral verified
Medical / Remote

Healthcare Administrative Specialist

About the Role — We're looking for professionals with deep, hands-on experience in the administrative and operational work that keeps healthcare organizations running — the "back office" of a medical practice, hospital, or health plan. This spans the full administrative lifecycle: getting patients registered and covered, securing authorizations, moving claims through to payment, managing provider and payer relationships, and keeping records and compliance in order. You'll help us understand the precise steps these workflows take in the real tools you use every day. — Core Workflows (you should actively own one or more) • Patient Access & Front-End: registration, scheduling, insurance/eligibility verification, benefits interpretation, intake, and referral management • Prior Authorizations & Utilization Support: initiating, submitting, and tracking authorizations through payer portals • Claims & Revenue Cycle: claim submission, status tracking, denials and appeals, A/R follow-up, and resolution of rejections • Remittance & Payment Posting: electronic remittance advice (ERA), payment posting, and reconciliation against clinical charges • Provider & Payer Operations: credentialing, provider enrollment, payer configuration, appeals & grievances, and member/provider services • Health Information & Practice Administration: medical records administration, release of information, and day-to-day practice/office operations — Requirements • 3+ years of daily, hands-on experience in a healthcare administrative / back-office role • Direct experience with the systems this work runs on — payer portals (Availity, Optum/Change Healthcare, Waystar, Office Ally, or individual payer hubs like UHC Link, BCBS, Aetna), EHR / practice-management platforms, and/or clearinghouses • Currently working in a healthcare administrative role • Based in the United States — Ideal Backgrounds • Practice Administrator / Medical Office Manager • Revenue Cycle Specialist / RCM Analyst • Medical Billing Coordinator / Full-Cycle Biller • Patient Access Lead / Intake / Referral Coordinator • Prior Authorization Specialist • Denials / Claims Resolution Specialist • Credentialing / Provider Enrollment Specialist • Health Plan / Payer Operations (claims, appeals & grievances, provider configuration) • Health Information Management (HIM) / Medical Records administrator — Note: We are looking for administrative and operational workflow expertise across healthcare — not medical coding or clinical care roles.

$40 - $50 / hourOpen / Referral verified
Medical / Remote

Adult Inpatient Nurses (RN)

We're hiring experienced Adult Inpatient Nurses (RNs) to help train and evaluate AI systems used in clinical and healthcare settings. This role is ideal for nurses who want to apply their frontline experience to improve the accuracy, safety, and reliability of medical AI tools. — You'll work on projects that require deep clinical judgment, attention to detail, and the ability to translate real-world bedside documentation practices into structured feedback for AI systems. — Key Responsibilities • Review and evaluate AI-generated clinical outputs based on nursing flowsheet documentation • Validate accuracy, completeness, and adherence to current documentation standards • Annotate and structure inpatient nursing assessment data for AI training datasets • Provide expert feedback on nursing assessments and documentation practices • Identify gaps, inconsistencies, or risks in AI-generated responses • Ask clarifying questions when annotation guidance is ambiguous, and contribute to guideline refinement • Collaborate with technical teams to improve model performance • Contribute to the development of high-quality clinical benchmarks — Basic Qualifications • Active RN license (U.S., outside California) • Recent adult acute care inpatient bedside experience, ideally in a non-procedural area of specialty • Experience within the last 5–10 years, reflecting familiarity with current workflows and documentation practices (current documentation experience is prioritized over total years of nursing experience) • Comfortable performing and documenting comprehensive nursing assessments • Comfortable following detailed annotation guidelines consistently • Excellent written communication skills and responsiveness to feedback • Ability to work independently and meet deadlines — Preferred Qualifications • Epic EHR experience (most common platform, closely aligns with many workflows) • Comfortable learning new annotation tools and web-based platforms • Able to navigate transcripts efficiently and use AI-assisted tools appropriately while still verifying outputs • Experience reviewing charts for quality improvement, utilization review, CDI, or clinical informatics • Previous annotation, chart abstraction, or healthcare AI experience

$55 - $65 / hourOpen / Referral verified
Medical / Remote

Social Work Expert

Role Overview • Mercor is seeking senior social work professionals to build evaluation tasks for AI systems operating in large human services and clinical social work contexts. • The workflows are calibrated to the case complexity, stakeholder sensitivity, and client-outcome stakes of large public agencies, healthcare systems, and community-based organizations. • Contributors design social work scenarios, draft reference outputs, and write rubrics that capture how senior clinicians and case management leaders think. — Key Responsibilities • Construct social work scenarios spanning complex case assessment, multi-stakeholder care coordination, and crisis intervention or mandated reporting cycles. • Build tasks across clinical social work practice, child and family welfare, healthcare/medical social work, substance use and mental health services, and community-based case management. • Develop practice scenarios involving tools such as electronic health/case record systems (EHR, CCWIS), risk and needs assessment instruments, and interagency referral platforms. • Apply social work frameworks (biopsychosocial assessment, trauma-informed care, strengths-based practice, NASW Code of Ethics) and produce reference case plans, clinical documentation, and interdisciplinary team communications. • Author rubrics that distinguish authentic clinical and ethical judgment from generic textbook or policy-manual recall. — Ideal Qualifications • 5+ years working as a licensed clinical social worker (LCSW/LMSW) or senior case management professional at a hospital system, child welfare agency, behavioral health organization, or large nonprofit. • Direct ownership of clinical caseloads, family/child welfare cases, or program-level service delivery. • Fluency in social work practice standards and case management tooling, plus understanding of how mandated reporting, interagency coordination, and ethical/legal compliance actually work. • Prior rubric, clinical training curriculum, or case documentation authorship is a plus.

$40 - $50 / hourOpen / Referral verified
Business / United States Remote

Project Coordinator

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

$45 - $55 / hourOpen / Referral verified