Physician Talent Network

$110–250/hrrate as listed

Mercor maintains a standing pool of licensed physicians who are matched to AI lab projects as they open, rather than to one fixed role. You apply once, complete an AI-led screening interview, and get contacted when a project needs your specialty — typically 15–30 hours per week at observed rates of $110–250/hr.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

What the work actually involves

This is a talent network application, not a posting for a defined project. Once you're verified, Mercor routes you to contract work from AI labs that needs clinical judgment: writing diagnostic reasoning tasks grounded in real presentations, grading model responses against standard of care, flagging hallucinated drug interactions or dosing errors, and producing rubrics that let non-clinicians score medical output consistently. Some projects lean toward authoring — you build cases, differentials, and gold-standard answers. Others lean toward evaluation — you read model transcripts and explain, in writing, exactly where the reasoning breaks and what the clinical consequence would be.

The deliverable is almost always prose. Labs pay for the rationale more than the verdict, so a physician who can write two tight paragraphs on why a model's workup order is wrong is worth more than one who can only mark it wrong. Expect your written critiques to be reviewed and, on some programs, calibrated against other physicians in your specialty.

What the platform screens for

Verified credentials. Medical degree plus a current or recently active license; residency completion and board status are checked against your resume.
Specialty depth under follow-up. The AI interview asks a clinical question, then pushes on your answer — the screen is measuring whether your reasoning holds up, not whether your first response sounded confident.
Written clarity. Vague, hedged feedback is the most common reason physicians pass the credential check and still don't get matched.
Independence. Projects run async with minimal supervision and firm deadlines.

Logistics

Fully remote and asynchronous. Typical commitments run 15–30 hours per week, though scope varies by project and some engagements are shorter bursts. Rates in the $110–250/hr range have been observed across medical programs on Mercor; actual offers depend on specialty scarcity, project complexity, and the client lab — nothing is guaranteed at application time. Matching is rolling, so there may be a gap between approval and your first invitation, and you'll interview again for specific opportunities.

What they look for

MD or DO with completed residency and active or recently active state medical license
Board certification in a clinical specialty
Direct patient care experience in diagnosis, treatment planning, and clinical documentation
Ability to write clear, cited clinical rationale explaining why an answer is right or wrong
Comfort working fully async and remote against deadlines without supervision
Familiarity with evidence hierarchies and current specialty guidelines

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Do you hold an MD, DO, or equivalent medical degree from an accredited institution?
Medical degree · required
Have you been in clinical practice (diagnosis, treatment, or patient care) within the past 3 years?
Active or recent clinical practice · required
Are you legally authorized to work remotely as a contractor in your country of residence?
Work authorization in project location · preferred

0 of 3 answered

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: Whether you can articulate diagnostic reasoning, differential diagnosis construction, and how you integrate clinical features—the core skill AI labs need physicians to evaluate.
A strong answer: A concrete case with specific presenting symptoms, the differentials you considered, what clinical findings or tests narrowed the diagnosis, and why the correct diagnosis won out. Show the stepwise reasoning, not just the outcome.
Where people lose it: Describing only the final diagnosis without showing the thought process, or picking a straightforward textbook case that doesn't demonstrate genuine diagnostic judgment under uncertainty.