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Clinical Medicine Domain Expert

Company: Mercor · Pay: $70–$110/hr · Location: Remote — Global · Type: contractor, full time · Posted: 2026-09-14

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$70 - $110 / hr

The Intersection of Healthcare and Artificial Intelligence: A Paradigm Shift for Practicing Clinicians

The healthcare and technology sectors are converging in unprecedented ways. For decades, medical doctors, specialists, and clinical leaders have dedicated their lives to direct patient care, clinical research, health system administration, and medical education. Today, a monumental technological frontier is emerging: artificial intelligence labs are racing to build sophisticated generative AI models capable of clinical reasoning, differential diagnosis support, and complex healthcare data synthesis.

However, general-purpose large language models often falter when confronted with the nuances, high stakes, and rigorous empirical standards required in clinical medicine. To bridge this critical gap, leading AI research labs are actively seeking elite medical minds to guide, validate, and train their frontier models. Roles like the Clinical Medicine Domain Expert position on Mercor represent an extraordinary avenue for practicing clinicians to step outside traditional clinical bottlenecks and shape the future of global medical technology while earning an elite hourly rate between $70 and $110.

Comprehensive Job Overview & Responsibilities

This full-time W-2 engagement, administered via enterprise staffing partner Cincinnatus LLC, places top-tier medical specialists directly within the research and program management divisions of leading AI labs. Rather than acting as a casual freelance gig, this role requires deep, immersive collaboration on high-impact projects.

Key Responsibilities:

  • Data Quality Assurance and Clinical Audits: Vet the quality of clinical knowledge work tasks and AI-generated outputs. Identify missing behaviors, shallow reasoning paths, unsafe recommendations, and plausible-sounding errors that would fail rigorous clinical scrutiny.
  • Instruction Specifications & Golden Datasets: Author precise instruction specs, produce definitive "golden solutions" to complex medical cases, and design novel clinical tasks that mirror real-world medical practice.
  • Benchmark Design & Domain Depth: Engineer challenging evaluation frameworks and medicine-specific skill sets in tight collaboration with frontier AI research scientists.
  • Translating Tacit Judgment: Work alongside researchers and cross-disciplinary experts to translate complex clinical intuition into explicit, structured, and teachable machine-readable evaluation standards.

Candidate Qualifications and Core Requirements

Because these advanced systems directly impact the future safety and efficacy of medical AI infrastructure, the qualification standards are exceptionally rigorous, designed exclusively for seasoned medical professionals.

Core Requirements & Qualifications:
  • Medical Degree: MD or DO degree obtained from an accredited medical school, complemented by a completed residency in a recognized medical specialty.
  • Post-Residency Experience: A minimum of 4+ years of active post-residency clinical practice (note: residency and fellowship training years do not count toward this 4-year requirement).
  • Licensure & Certification: An active, unrestricted license to practice medicine in at least one U.S. state, alongside board certification in your designated specialty.
  • Specialized Expertise: Deep domain depth in fields such as internal medicine, oncology, radiology, emergency medicine, surgery, psychiatry, or specialized medical subspecialties. Prior background in clinical informatics, utilization management, or medical affairs is highly valued.
  • Seniority & Leadership: Documented career progression into senior leadership capacities (e.g., Attending Physician, Medical Director, Division Chief, Associate/Full Professor, or Chief Medical Officer) with hands-on ownership of high-stakes clinical decisions.
  • AI Fluency & Location: Working, hands-on familiarity with large language models in daily professional routines, coupled with physical residency in the Bay Area, California, to fulfill hybrid on-site requirements.

Employment Structure, Compensation, and On-Site Expectations

Understanding the logistical and structural parameters of this career opportunity is crucial for prospective applicants:

  • Employer of Record (Cincinnatus LLC): This is a structured, full-time W-2 employment position through Cincinnatus LLC, which handles comprehensive payroll, benefits, and compliance while embedding you directly inside elite client environments.
  • Commitment and Duration: Designed as an initial 6-month engagement requiring a reliable commitment of 40 hours per week.
  • Location & Hybrid Setup: Based out of the Bay Area, California, requiring regular on-site collaboration with the client’s core research teams multiple days each week. Candidates outside the region must be prepared to relocate independently.

Why This Role Offers Unmatched Professional Fulfillment for Physicians

Practicing medicine demands intense dedication, long hours, and relentless emotional and intellectual energy. While clinical practice remains deeply rewarding, many physicians experience burnout within rigid healthcare administrative systems. Stepping into an AI training and domain expert role provides a refreshing, intellectually stimulating pivot.

You are no longer just treating individual patients; you are scaling your diagnostic wisdom and clinical ethics into algorithms that could eventually assist hundreds of thousands of healthcare providers globally. Furthermore, commanding $70 to $110 per hour in a full-time structure ensures that your hard-earned expertise is financially valued at the highest tiers of the modern knowledge economy.

Secure Your Future at the Forefront of Medical AI Innovation

Opportunities to influence foundational artificial intelligence models from a clinical governance standpoint are extraordinarily rare. If you meet the rigorous medical qualifications, possess a passion for technological advancement, and are ready for a groundbreaking career transition in the Bay Area, now is the time to act.

Responsibilities

  • Data Quality Assurance and Clinical Audits: Vet the quality of clinical knowledge work tasks and AI-generated outputs. Identify missing behaviors, shallow reasoning paths, unsafe recommendations, and plausible-sounding errors that would fail rigorous clinical scrutiny.
  • Instruction Specifications & Golden Datasets: Author precise instruction specs, produce definitive "golden solutions" to complex medical cases, and design novel clinical tasks that mirror real-world medical practice.
  • Benchmark Design & Domain Depth: Engineer challenging evaluation frameworks and medicine-specific skill sets in tight collaboration with frontier AI research scientists.
  • Translating Tacit Judgment: Work alongside researchers and cross-disciplinary experts to translate complex clinical intuition into explicit, structured, and teachable machine-readable evaluation standards.

Qualifications

  • Medical Degree: MD or DO degree obtained from an accredited medical school, complemented by a completed residency in a recognized medical specialty.
  • Post-Residency Experience: A minimum of 4+ years of active post-residency clinical practice (note: residency and fellowship training years do not count toward this 4-year requirement).
  • Licensure & Certification: An active, unrestricted license to practice medicine in at least one U.S. state, alongside board certification in your designated specialty.
  • Specialized Expertise: Deep domain depth in fields such as internal medicine, oncology, radiology, emergency medicine, surgery, psychiatry, or specialized medical subspecialties. Prior background in clinical informatics, utilization management, or medical affairs is highly valued.
  • Seniority & Leadership: Documented career progression into senior leadership capacities (e.g., Attending Physician, Medical Director, Division Chief, Associate/Full Professor, or Chief Medical Officer) with hands-on ownership of high-stakes clinical decisions.
  • AI Fluency & Location: Working, hands-on familiarity with large language models in daily professional routines, coupled with physical residency in the Bay Area, California, to fulfill hybrid on-site requirements.

Apply now →