Emergency Physician - Fully Remote | Up to $170/hr

mercor

United States

À distance

USD 207 000 - 234 000

Temps partiel

Il y a 12 jours

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Résumé du poste

Mercor, headquartered in San Francisco, is seeking an Emergency Medicine Physician for a remote, part-time contract role. You will review ED data, assess AI-generated summaries, and provide precise feedback to improve AI performance in clinical documentation.

The ideal candidate is board-certified in Emergency Medicine with 2–3+ years of ED practice and prior AI/ML annotation experience. Remote position, US-based preferred.

Qualifications

  • MD with completed Emergency Medicine residency.
  • Board-certified in Emergency Medicine with 2–3+ years of practice.
  • Experience in AI/ML annotation or model evaluation preferred.

Responsabilités

  • Review ED clinical documentation and patient charts for accuracy and completeness.
  • Evaluate AI-generated ED summaries against expected physician standards.
  • Annotate clinical encounter data following detailed guidelines.
  • Flag omissions, hallucinations, clinical inaccuracies and gaps in AI outputs.
  • Provide structured written feedback to engineering and product teams.
  • Contribute input on annotation guidelines and edge cases.

Connaissances

Emergency Medicine
Board-certified ED
AI/ML annotation
Chart synthesis

Formation

MD with Emergency Medicine residency

Outils

AI annotation tools

Description du poste

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Emergency Medicine Physician (MD) Type: Contract Compensation: $150–$170/hour Location: Remote Commitment: Part-time

Role Responsibilities
  • Review ED clinical documentation and patient charts for accuracy, completeness, and clinical soundness.
  • Evaluate AI-generated ED summaries against expectations of a practicing emergency physician.
  • Annotate clinical encounter data following detailed guidelines.
  • Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated output .
  • Provide structured, written feedback for engineering and product teams to act on.
  • Contribute expert input on annotation guidelines and edge-case definitions.
Qualifications Must-Have
  • 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
  • Prior AI/ML annotation or model evaluation experience
  • Experience synthesizing patient charts into ED arrival summaries
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