Primary Care Physician (MD) - Clinical Documentation & AI Evaluation
Mercor ยท 100% remote ยท Contract ยท Posted
- Pay
- $170/hr
- Location
- United States
- Languages
- English
- Hours
- 10+ hours/week through mid-November
- Openings
- Not listed
- Level
- Expert
Summary
Review clinical notes and AI-generated summaries, annotate encounter data, flag inaccuracies, and provide structured feedback to improve medical AI documentation tools.
What you'll do
- Review clinical notes and EHR documentation for accuracy
- Evaluate AI-generated notes against PCP documentation standards
- Annotate encounter data following guidelines
- Flag omissions, hallucinations, and clinical inaccuracies
- Provide structured written feedback to engineering teams
- Contribute to annotation guidelines and edge-case definitions
Requirements
- Hold an MD with 2+ years post-residency
- Practice primary care, family medicine, or general internal medicine
- Be based in the United States
- Commit to at least 10 hours/week through mid-November
Skills
- Clinical Documentation
- EHR Systems
- Annotation
- AI Model Evaluation
- Primary Care Medicine
Full description
About the Role
Mercor is hiring practicing Primary Care Physicians (MD) on behalf of a healthcare AI partner building advanced clinical documentation and decision-support tools. In this role you will apply your day-to-day primary care expertise to review, annotate, and evaluate clinical documentation, directly shaping the accuracy, safety, and clinical usefulness of medical AI systems.
This role is designed for physicians who are currently practicing primary care, family medicine, or general internal medicine.
Key Responsibilities
Clinical Documentation Review
Review clinical notes, encounter summaries, and EHR documentation for accuracy, completeness, and clinical soundness
Evaluate AI-generated notes and summaries against what a practicing PCP would actually document
Annotation & Structured Feedback
Annotate encounter data against detailed guidelines
Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated output
Provide structured, written feedback that engineering and product teams can act on
Knowledge Contribution
Contribute expert input on annotation guidelines, documentation standards, and edge-case definitions
Raise clarifying questions where guidance is ambiguous and help refine the guidelines
Required Qualifications
MD, with 2+ years post-residency
Currently practicing primary care / family medicine / general internal medicine
US-based
Available for a minimum of 10 hours/week through mid-November
Preferred Qualifications
- Prior AI/ML annotation or model evaluation work experience, with strong performance reviews
Location: open to applicants in United States.
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