Pediatric Expert - AI Trainer

Mercor; Nashville (TN); Remote; USD 83.000 - 124.000; Teilzeit

Zusammenfassung

Mercor is hiring pediatricians (MD) to review, annotate, and evaluate clinical documentation for AI systems, applying pediatric expertise to improve accuracy and safety.

This is a remote, part-time role in the United States, requiring a minimum of 10 hours per week through mid-November, with flexible scheduling around an active clinical practice.

Preferred candidates have prior AI/ML annotation or model evaluation experience and are US-based.

Qualifikationen

• MD with pediatrician background.
• US-based clinician.
• Willing to commit at least 10 hours per week through mid-November.

Aufgaben

• Review pediatric clinical documentation for accuracy and completeness.
• Annotate data against detailed guidelines.
• Provide structured feedback for engineering and product teams.
• Contribute to guideline development and edge-case definitions.

Kenntnisse

Clinical documentation review

Annotation

Structured feedback

Pediatric care

Ausbildung

MD (Pediatrician)

Tools

AI/ML annotation tools

Model evaluation

Jobbeschreibung

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