Emergency Physician - AI Trainer

Obsidian; Houston (TX); Remote; USD 207,000 - 262,000; Part time

Job summary

Mercor is hiring board-certified Emergency Medicine physicians to review, annotate, and evaluate clinical documentation for a healthcare AI partner, shaping the safety and usefulness of AI-driven ED summaries.

In this remote, part-time role you will review ED charts for accuracy, annotate encounters against guidelines, and deliver structured feedback to engineering and product teams to refine annotation guidelines and edge-case definitions.

Qualifications

• MD with a completed Emergency Medicine residency.
• Board-certified in Emergency Medicine with 2–3+ years of practice.
• US-based.

Responsibilities

• Review ED clinical documentation and patient charts for accuracy, completeness, and clinical soundness.
• Annotate clinical encounter data against detailed guidelines and provide structured feedback to engineering and product teams.
• Contribute expert input on annotation guidelines and edge-case definitions.

Education

MD with Emergency Medicine residency

Job 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