Live, remote AI-training roles relevant to Internal Medicine, updated daily. Applied Clinical Judgement is a UK-based referral intermediary: we point you to genuine openings on the major training platforms and are paid only when a referral succeeds. Pay rates are shown on each role; we never display our referral fee.
4 live Internal Medicine roles · updated daily
Family Medicine / Primary Care Physician/MD (San Francisco based, Talent Network)
Mercor seeks family medicine or internal medicine MDs (board-certified or eligible) with 2+ years clinical experience for San Francisco-based AI training work. Compensated at $170–$190 hourly. You will annotate clinical text and EHR data, validate AI-generated medical outputs, and contribute to safe, explainable AI system development. Academic hospital background preferred. Part of a talent network for ongoing projects.
Resident Medical Specialist (MD/DO)
Turing seeks licensed physicians to evaluate and improve AI clinical reasoning. You'll design assessment frameworks, create medical scenarios to test AI decision-making, and identify knowledge gaps in AI systems. The role suits clinically active doctors interested in AI development. Flexible remote engagement of up to 30 hours per week, initially for one month with potential extension.
Internal Medicine Expert
$130–$180 per hour. Mercor seeks Internal Medicine physicians to train frontier AI models on healthcare reasoning. You'll design clinical scenarios, write reference responses, and grade AI outputs against evidence-based standards. The role suits IM attendings, hospitalists, subspecialists, final-year residents, and fellows. Work is fully remote and asynchronous at 20 hours weekly.
Family Medicine / Primary Care Physician/MD (San Francisco based, Talent Network)
Mercor seeks family medicine or internal medicine MDs (board-certified or eligible) with 2+ years clinical experience for San Francisco-based AI training work. Compensated at $170–$190 hourly. You will annotate clinical text and EHR data, validate AI-generated medical outputs, and contribute to safe, explainable AI system development. Academic hospital background preferred. Part of a talent network for ongoing projects.
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