Healthcare & Clinical Experts
Medicine is built on judgment. Every day, clinicians make decisions amid uncertainty, competing priorities, and high stakes. As AI enters healthcare, its success will depend on how it impacts clinical outcomes.
Opportunities
Mercor connects physicians, nurses, and healthcare operators with frontier AI labs building the next generation of medical AI. Get matched to remote, paid projects starting at $50/hr.
Why Mercor
Work at the frontier of AI
Shape how future models reason through patient care, clinical training, and operational decision-making to help address challenges that cannot be solved through medical knowledge alone.
Flexible, remote work
Contribute from anywhere and choose projects that fit your schedule. Work independently without long-term commitments or fixed hours.
Earn top-tier compensation
Rates range from $50–$180/hour based on your expertise and project complexity
Improve patient outcomes
Help get medical AI right before it reaches patients. The systems you contribute to today influence how AI supports diagnosis, treatment planning, and patient care.
The work
The healthcare professionals working with Mercor help shape how future AI systems reason. The work mirrors how experienced clinicians operate in real environments by navigating uncertainty, risk, and complex clinical decisions.
Evaluate
Review and compare AI-generated outputs across realistic clinical and operational scenarios. Determine whether recommendations are clinically appropriate, consistent with current standards of care, and would hold up in practice.
Create
Write gold-standard clinical responses, realistic patient cases and evaluation rubrics to teach models how experienced clinicians reason.
Test
Design challenging scenarios that reveal how models perform when clinical judgment matters most: incomplete histories, uncertain diagnoses, and situations where patient safety or operational outcomes are at stake.
Review
Apply expert oversight to ensure outputs are clinically sound, evidence-supported, and meet healthcare standards.
Expert testimonials
Internal Medicine Physician
Hematology / Oncology Reviewer
Healthcare AI Expert
How Mercor uses healthcare expertise
From diagnostic reasoning and specialty care to healthcare operations and regulatory decision-making, expert judgment remains essential in domains where patient outcomes, safety, and evidence-based decision-making matter.
Diagnostic & Clinical Reasoning
Evaluate whether AI can distinguish between competing diagnoses, recognize urgent findings, and provide recommendations that would hold up in practice.
Acute & Critical Care Decision-Making
Review how AI responds when time and patient risk intersect. Identify whether models recognize subtle signs of deterioration, prioritize the right interventions, and understand when uncertainty should trigger escalation.
Specialty & Complex Disease Management
Examine how AI navigates treatment decisions involving competing risks, multiple comorbidities, and evolving evidence. Identify what separates a guideline-based recommendation from one that reflects real clinical expertise.
Healthcare Operations & Administration
Assess whether AI accounts for the realities healthcare leaders manage every day: staffing shortages, capacity constraints, patient flow, and the constant tradeoffs between access, quality, and cost.
Healthcare Data & Analytics
Analyze how AI transforms healthcare data into decisions. Evaluate whether models identify meaningful patterns, uncover operational inefficiencies, and distinguish actionable insights from noise.
Frequently Asked Questions
Evaluate
- Diagnostic reasoning, treatment selection, and guideline concordance
- Generated care plans, clinical documentation, and operational recommendations
- Healthcare workflows, escalation decisions, and evidence-based reasoning
Create
- Gold-standard clinical and operational responses
- Structured evaluation rubrics and reviewer calibration frameworks
- Realistic patient cases, healthcare scenarios, and benchmark datasets
Test
- How models handle ambiguity, incomplete information, and conflicting constraints
- Safety, escalation behavior, and decision-making under uncertainty
- Whether models verify correctness before making recommendations
Review
- Patient safety, reasoning quality, and production readiness
- Maintainability, instruction-following, and operational feasibility
- Communication clarity, healthcare judgment, and evidence-backed conclusions
Most healthcare projects require an advanced degree, medical credentials, and years of practice. Strong candidates typically have professional clinical or healthcare operations experience and can independently reason through complex real-world scenarios.
Experience with electronic medical records, clinical guidelines, evidence-based treatment plans, enterprise healthcare workflows, and cross-functional clinical operations environments is commonly relevant across projects.
No. The work is closer to senior-level clinical reasoning, healthcare operations review, technical evaluation, and evidence-based decision-making than traditional prompt writing or redundant data labeling.
Strong candidates typically have:
- Professional experience working in clinical or healthcare operations environments
- Ability to independently establish ground truth and evaluate reasoning quality
- Strong judgment around patient safety, operational tradeoffs, and evidence-based recommendations
- Clear written communication skills and the ability to explain reasoning precisely
- Ability to apply consistent evaluation standards across complex healthcare tasks
Compensation varies by project, specialization, and experience level.
Recent opportunities have included:
Internal Medicine Expert
$130–$180/hour
Emergency Medicine Expert
$130–$180/hour
Cardiology Expert
$130–$180/hour
Healthcare Operations & Strategy Projects
Starting at $50/hour
Qualified specialists and highly experienced healthcare professionals may receive access to additional premium opportunities.