
Licensed Physician – Freelance AI Trainer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Virginia, +1 more state.
• Evaluate clinical EHR vignettes accompanied by questions, suggested answers, and misleading “trap” answers related to diagnosis and treatment tasks.
• Assess vignettes covering the cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.
• Score the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, and quality of trap answers.
• Verify whether reasoning chains lead to answers based solely on the facts presented in the vignettes.
• Correct reasoning pathways and provide concise rationales.
• Operate within three independent blind reads followed by physician adjudication.
• Enhance AI tools utilized in clinical settings.
• Must be a US-based, actively practicing physician (MD/DO).
• Hold a medical degree (MD or DO).
• Possess an active, unrestricted US medical license, confirmed by the issuing medical board.
• Have board certification or completed residency training.
• Recent direct patient care experience is preferred, ideally at the attending level.
• Extensive, multi-system diagnostic and treatment experience in internal medicine, family medicine, emergency medicine, or hospital medicine.
• Strong clinical reasoning skills, including differential diagnosis, next-step management, and the application of evidence-based guidelines.
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is advantageous.
• Excellent written English skills (C1+).
• Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals holding non-clinical healthcare titles.
• Tasks must be completed and submitted by the specified deadlines, adhering to the established acceptance criteria.
• Participation is project-based.
• Offers part-time, non-permanent projects.
• Tasks are estimated to require approximately 10–20 hours per week during active phases.
• Compensation is provided per accepted task.
• Earnings can be up to the equivalent of $100/hr, depending on qualification tier and task efficiency.
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