Emergency Medicine Physician (MD)
Mercor · 100% remote · Contract · Posted
- Pay
- $150–170/hr
- Location
- United States
- Languages
- English
- Hours
- Part-time
- Openings
- Not listed
- Level
- Expert
Summary
Review and annotate emergency department clinical documentation to evaluate AI-generated summaries for accuracy and clinical soundness.
What you'll do
- Review ED clinical documentation and patient charts for accuracy, completeness, and clinical soundness
- Evaluate AI-generated ED summaries against what a practicing emergency physician would expect
- Annotate clinical 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
- Contribute expert input on annotation guidelines and edge-case definitions
- Raise clarifying questions where guidance is ambiguous and help refine the guidelines
Requirements
- Hold an MD with completed Emergency Medicine residency
- Be board-certified in Emergency Medicine
- Have 2-3+ years of practice as a board-certified ED physician
- Be based in the United States
Skills
- Emergency Medicine
- Clinical Documentation
- Medical Annotation
- AI/ML Model Evaluation
- Patient Chart Review
Full description
Mercor is hiring board-certified Emergency Medicine physicians on behalf of a healthcare AI partner building advanced clinical documentation tools. In this role you will apply your emergency department expertise to review, annotate, and evaluate clinical documentation, directly shaping the accuracy, safety, and clinical usefulness of medical AI systems.
Key Responsibilities
Clinical Documentation Review
Review ED clinical documentation and patient charts for accuracy, completeness, and clinical soundness
Evaluate AI-generated ED summaries against what a practicing emergency physician would expect to see on arrival
Annotation & Structured Feedback
Annotate clinical 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 and edge-case definitions
Raise clarifying questions where guidance is ambiguous and help refine the guidelines
Required Qualifications
MD with a completed Emergency Medicine residency
Board-certified in Emergency Medicine, with 2–3+ years of practice as a board-certified ED physician
US-based
Preferred Qualifications
Prior AI/ML annotation or model evaluation experience
Experience synthesizing patient charts into ED arrival summaries
Work Arrangement
Remote, part-time
Flexible scheduling, designed around an active clinical practice
Location: open to applicants in United States.
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