Internal Medicine Expert at Mercor
- Contract
- Remote, Remote
About the Role
Mercor is partnering with a leading AI lab to train frontier models on high-quality healthcare reasoning data. We're hiring Internal Medicine experts to design clinical scenarios, evaluate model outputs against evidence-based standards, and help shape how the next generation of AI reasons about patient care.
We welcome IM attendings, hospitalists, IM subspecialists (Cardiology, Heme/Onc, Endocrinology, Nephrology, GI, Pulm, etc. encouraged to apply via the matching specialty listing where available), final-year IM residents, and IM fellows.
What You'll Do
Design clinically realistic prompts and scenarios drawn from your IM practice (diagnostic reasoning, treatment planning, risk stratification, guideline concordance)
Write "golden" reference responses at attending-level quality
Grade AI-generated responses against structured rubrics
Provide written feedback the research team uses to improve model behavior
Participate in onboarding office hours and specialty calibration sessions
Who You Are
Attending physicians: Must be board certified with current, active, unrestricted medical license
Resident physicians: Must be in final year of residency (recent graduates must be board-eligible)
Fellows: Must be board-certified/board-eligible in primary specialty and have current active, unrestricted medical license
Rates
$130–$300/hr payable, set per seniority tier (early-career → senior attending). Your specific rate is confirmed in your offer.
Engagement
Remote, 100% asynchronous
20 hrs/wk default (can be raised after onboarding based on demand)
Paid weekly via Mercor
Start: rolling, after onboarding sign-off
Duration: ongoing, reviewed monthly
Before Your First Task
You'll receive an onboarding doc and a calendar invite for Onboarding Office Hours after you accept.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Published 14 days ago • Expires June 20, 2026 21:00