Pediatric Emergency / Urgent Care Physician (MD)

Training Turk; United States; Remote; USD 170,000 - 243,000; Part time

Job summary

Mercor is seeking a Pediatric Emergency / Urgent Care Physician (MD) to provide expert review of pediatric emergency and urgent‑care documentation. You will annotate AI outputs, identify errors and omissions, and deliver structured feedback to engineering teams.

This role supports improving AI‑driven medical tools while working remotely from the United States, with a commitment of about 10 hours per week. The ideal candidate is an MD with pediatric emergency or urgent‑care experience, based in

Qualifications

• Examine emergency and urgent‑care notes for clinical soundness.
• Mark up AI‑generated summaries for errors and gaps.
• Write clear feedback for product and engineering teams.
• Assist in developing and updating annotation guidelines.

Responsibilities

• Examine emergency and urgent‑care notes for clinical soundness.
• Mark up AI‑generated summaries for errors and gaps.
• Write clear feedback for product and engineering teams.
• Assist in developing and updating annotation guidelines.

Skills

Pediatric emergency

Urgent care

MD (medical doctor)

AI/ML annotation (plus)

Education

MD degree

Tools

Annotation tools

Job description

Pediatric Emergency / Urgent Care Physician (MD)

$150/hr

Mercor

Hourly, 10 hours a week

Provide expert pediatric review and annotation of clinical documentation to improve AI‑driven medical tools.

What you would do

• Examine emergency and urgent‑care notes for clinical soundness
• Mark up AI‑generated summaries for errors and gaps
• Write clear feedback for product and engineering teams
• Assist in developing and updating annotation guidelines

Who they want

• MD with pediatric emergency or urgent‑care experience
• Based in the United States
• Available at least 10hours per week through mid‑November
• Familiarity with AI/ML annotation is a plus

Pediatric emergency medicine Clinical documentation review AI output evaluation

What the interview asks about

• Chart completeness verification

  "A pediatric chart lacks the recorded dosage for a medication; how would you document this omission and explain its impact to the AI team?"

  Why this comes up

  Ensures you can spot missing vital signs or treatment details that affect patient safety and AI training quality

• Detecting AI hallucinations

  "The AI summary adds a diagnosis of meningitis that isn’t in the chart; describe the steps you’d take to flag and correct it."

  Why this comes up

  Shows ability to identify fabricated or inaccurate information that could mislead clinicians

• Structured feedback creation

  "After finding several documentation gaps, how would you organize your feedback to prioritize fixes for the next model release?"

  Why this comes up

  Demonstrates clear communication so engineers can implement precise improvements

• Guideline refinement participation

  "When encountering a rare pediatric trauma case not covered by current guidelines, how would you propose an amendment?"

  Why this comes up

  Tests collaborative skill in evolving annotation standards for complex cases

A task you may get

You’ll be given a de‑identified pediatric emergency note and an AI‑generated summary; you must annotate errors, note omissions, and write concise feedback for the development team.

How to prepare

• Refresh pediatric emergency documentation standards and common pitfalls
• Practice annotating sample charts and writing brief error reports
• Familiarize yourself with typical AI hallucination patterns in medical summarization

The facts

Pay $150/hr

Hours Hourly, 10 hours a week

Where Remote

Open to USA

Field Medicine

Project name Boron

Posted 10/14/2026

Places left 4

We wrote this page from the public Mercor listing. It may be out of date, so read the full posting before you apply.