Pediatric Emergency Physician - Annotation

Mercor; New York (NY); Remote; USD 138,000 - 276,000; Part time

Job summary

Mercor is hiring physicians (MD) with pediatric emergency department or pediatric urgent care experience to review, annotate, and evaluate clinical documentation for AI systems. You will apply your acute-care expertise to shape the accuracy, safety, and usefulness of medical AI outputs.

This is remote, part-time work with a minimum of 10 hours per week through mid-November, designed around an active clinical practice.

Qualifications

• MD with pediatric emergency medicine or pediatric urgent care background.
• US-based physician.
• Available for a minimum of 10 hours/week through mid-November.

Responsibilities

• Review pediatric ED and urgent care documentation for accuracy and clinical soundness.
• Evaluate AI-generated summaries against expected clinician view.
• Annotate encounter data against guidelines.
• Flag omissions and inaccuracies in AI outputs.
• Provide structured written feedback for engineering/product teams.
• Contribute input on annotation guidelines and edge-case definitions.

Skills

Clinical review

Annotation

Feedback writing

Edge-case guidance

Education

MD

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