About the role
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: General Physician Type:Contract Compensation:$150/hour Location:Remote Duration:6 weeks Commitment:20+ hours/week
Role Responsibilities
* Evaluate AI model outputs for clinical accuracy, safety, and alignment with medical standards. * Score diagnoses, case reasoning, and care recommendations against expert judgment. * Write structured feedback on clarity, safety, and clinical rigor. * Flag failure modes that compromise patient safety. * Collaborate asynchronously with AI researchers to improve model performance.
Qualifications
Must-Have
* MD or DO from an accredited medical school. * Active, unrestricted US medical license. * Residency complete. * Currently practicing and seeing patients. * 3+ years of post-residency experience in your current role strongly preferred. * Practice in primary care, internal medicine, and hospital-based specialties (Primary Care, General Internal Medicine, Family Medicine, Emergency Medicine, Critical Care). * Sharp attention to detail and clear written communication. * Located in the US.
Start Date
* Immediate
Application Process (Takes 20–30 mins to complete)
* Upload your resume and application form. * Complete a 25-minute conversational interview on your background, experience, and motivations. * Credential verification: license status, residency completion, and current practice setting. * Final roster placement is confirmed with the project team before your start date. * Receive next steps and onboarding details within a few days.
Resources & Support
* For details about the interview process and platform information, please check: * For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas