
Physician AI Tutor, Clinical Case Review
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Ohio.
• Assess clinical EHR vignettes along with associated questions, suggested answers, and distractor trap answers related to diagnosis and treatment tasks.
• Analyze cases covering cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.
• Evaluate the quality of clinical reasoning, the accuracy and completeness of vignettes, the correctness and gradeability of answers, and the quality of traps.
• Verify if reasoning chains derive answers solely from the facts presented in the vignettes.
• Rectify reasoning traces and compose brief rationales.
• Operate within three independent blind reviews followed by physician adjudication.
• Engage in project-based AI evaluation to assess, test, and enhance AI systems.
• Must be a US-based, actively practicing physician.
• Possess a medical degree (MD or DO).
• Hold an active, unrestricted US medical license, verified by the issuing medical board.
• Have board certification or completed residency training.
• Recent experience in direct patient care; attending-level is preferred.
• Extensive, multi-system diagnostic and treatment experience in internal, family, emergency, or hospital medicine.
• Demonstrate strong clinical reasoning skills, including differential diagnosis, next-step management, and the application of evidence-based guidelines.
• Previous experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is advantageous.
• Proficient in written English (C1+ level).
• Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles.
• Tasks must be completed by deadlines and adhere to the established acceptance criteria.
• Part-time, non-permanent, project-based opportunities.
• Compensation per accepted task.
• Earnings may reach up to the equivalent of $100/hr, based on qualification tier and task efficiency.
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