AI training & evaluation
Pediatric Emergency / Urgent Care Physician (MD)
Mercor
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.
- Work arrangement & location
- Remote · Current location: United States
Location and residence requirements
- Current location
- United States
Track this job
- Engagement
- hourly
- Hours
- 10 hours per week
Employer description and requirements
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