Pediatric Care MD - Fully Remote

Mercor

New York (NY)

Remote

USD 55,000 - 96,000

Part time

3 days ago
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Job summary

Mercor is seeking physicians (MDs) with pediatric emergency department or pediatric urgent care experience to join a healthcare AI partner.

You will review, annotate, and evaluate clinical documentation to shape AI system safety and usefulness, with a remote, part-time schedule of at least 10 hours/week through mid‑November.

Qualifications

  • MD with a pediatric acute-care background.
  • US-based physician.
  • Available for a minimum of 10 hours/week through mid‑November.

Responsibilities

  • Review pediatric emergency and urgent care documentation for accuracy and clinical soundness.
  • Evaluate AI-generated clinical summaries against expected pediatric acute-care outputs.
  • Annotate clinical encounters against guidelines and flag omissions or inaccuracies.
  • Provide structured, written feedback for engineering and product teams to act on.
  • Contribute input on annotation guidelines and edge-case definitions.

Skills

Pediatric emergency medicine
Pediatric urgent care
Clinical documentation review
AI/ML annotation awareness

Education

MD (US-licensed)

Job description

Mercor is hiring physicians (MD) with pediatric emergency department or pediatric urgent care experience on behalf of a healthcare AI partner building advanced clinical documentation tools. In this role you will apply your pediatric acute-care 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 pediatric emergency and urgent care documentation and patient charts for accuracy, completeness, and clinical soundness

  • Evaluate AI-generated clinical summaries against what a practicing pediatric acute-care physician would expect to see

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 background in pediatric emergency medicine or pediatric urgent care

  • US-based

  • Available for a minimum of 10 hours/week through mid-November

Preferred Qualifications
  • Prior AI/ML annotation or model evaluation experience (with positive performance reviews)
Work Arrangement
  • Remote, part-time

  • Flexible scheduling, designed around an active clinical practice

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