Pediatric ED AI Annotation Specialist (Remote, Part-Time)

HumanitApp; United States; Remote; USD 207,000 - 234,000; Part time

Job summary

Mercor is seeking physicians (MD) with pediatric emergency medicine or pediatric urgent care experience to review and annotate clinical documentation for an AI partner. The role is remote, part-time, US-based, and designed to fit around an active clinical practice.

You will evaluate AI-generated summaries, provide structured feedback, and contribute to guidelines, helping improve safety and clinical usefulness of the AI system. Availability is 10+ hours/week through mid-November.

Qualifications

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

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.

Skills

Pediatric Emergency Medicine

US-based

Part-time availability

Education

MD in Pediatric Emergency Medicine

Job description

Mercor is seeking physicians (MD) with pediatric emergency medicine or pediatric urgent care experience to review and annotate clinical documentation for an AI partner. The role is remote, part-time, US-based, and designed to fit around an active clinical practice.

You will evaluate AI-generated summaries, provide structured feedback, and contribute to guidelines, helping improve safety and clinical usefulness of the AI system. Availability is 10+ hours/week through mid-November.