Pediatric Expert - Fully Remote

Mercor; New York (NY); Remote; USD 138,000 - 193,000; Part time

Job summary

Mercor seeks pediatricians (MD) for remote, part-time work to review and annotate clinical documentation for AI systems. You will assess pediatric charts for accuracy and completeness, evaluate AI-generated summaries, and provide structured feedback to help refine guidelines and improve diagnostic quality.

Ideal candidates hold an MD in pediatrics, be US-based, and committed to at least 10 hours/week through mid-November.

Qualifications

• MD with pediatric background and US-based
• Available for a minimum of 10 hours/week through mid-November
• Experience with clinical documentation review or AI annotation is a plus

Responsibilities

• Review pediatric clinical documentation and patient charts for accuracy and completeness
• Annotate clinical data against detailed guidelines and identify omissions, hallucinations, and inaccuracies
• Provide structured written feedback for engineering and product teams to actionable improvements
• Contribute expert input on annotation guidelines and edge-case definitions and raise clarifying questions when guidance is ambiguous

Skills

Medical expertise

Clinical documentation review

AI/ML annotation familiarity

Education

MD (Pediatrician)

Job description

Mercor is hiring pediatricians (MD) on behalf of a healthcare AI partner building advanced clinical documentation tools. In this role you will apply your pediatric clinical 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 clinical documentation and patient charts for accuracy, completeness, and clinical soundness

• Evaluate AI-generated clinical summaries against what a practicing pediatrician 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 as a pediatrician

• 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