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Pediatrician MD - AI Trainer

Role overview

Summary

This role is for a Pediatrician MD to support AI training by reviewing clinical documentation and evaluating AI-generated outputs. You will work with engineering and product teams to enhance AI systems, contributing your expertise to improve processes and outcomes.

Qualifications

  • MD with a background as a pediatrician.
  • US-based.
  • Available for a minimum of 10 hours/week through mid-November.
  • Preferred: Prior AI/ML annotation or model evaluation experience.

Responsibilities

  • Review pediatric clinical documentation and patient charts for accuracy, completeness, and clinical soundness.
  • Evaluate AI-generated clinical summaries to ensure they meet the expectations of a practicing pediatrician.
  • Annotate clinical encounter data against detailed guidelines to improve AI model outputs.
  • Provide structured, written feedback for engineering and product teams to enhance AI systems.

Key facts

Hard skills

Other skills

  • Communication
  • Detail Oriented

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Pediatrician (MD)
Type: Contract
Compensation: $150/hour
Location: Remote
Commitment: 10+ hours/week

Role Responsibilities

  • Review pediatric clinical documentation and patient charts for accuracy, completeness, and clinical soundness.
  • Evaluate AI-generated clinical summaries to ensure they meet the expectations of a practicing pediatrician.
  • Annotate clinical encounter data against detailed guidelines to improve AI model outputs.
  • Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated output.
  • Provide structured, written feedback for engineering and product teams to enhance AI systems.
  • Contribute expert input on annotation guidelines and edge-case definitions to refine processes.

Qualifications

Must-Have

  • MD with a background as a pediatrician.
  • US-based.
  • Available for a minimum of 10 hours/week through mid-November.

Preferred

  • Prior AI/ML annotation or model evaluation experience.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



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