
Physician, MD/DO – Medical AI Evaluation
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Wisconsin.
• Evaluate clinical EHR vignettes along with related questions, proposed answers, and distractor trap answers in the context of diagnosis and treatment tasks.
• Assess vignettes that cover various systems including cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary.
• Score the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, as well as the quality of trap answers.
• Determine if reasoning chains lead to answers based solely on the facts presented in the vignettes.
• Correct reasoning traces and create concise rationales.
• Operate within a framework of three independent blind reviews followed by adjudication by a physician.
• Enhance medical AI tools through thorough clinical evaluation.
• Must be a US-based, actively practicing physician holding either an MD or DO degree.
• Possess an active, unrestricted US medical license, verified by the appropriate medical board.
• Must have board certification or have completed residency training.
• Recent experience in direct patient care is required; attending-level experience is preferred.
• Extensive diagnostic and treatment experience across multiple systems in internal, family, emergency, or hospital medicine.
• Strong clinical reasoning skills, including the ability to perform differential diagnoses, next-step management, and apply evidence-based guidelines.
• Previous experience in medical AI evaluation, clinical content review, exam-question review, or medical annotation/QA is advantageous.
• Excellent written English proficiency (C1+ level).
• This position is not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or those holding non-clinical healthcare roles.
• A CV must be submitted in English, indicating the level of English proficiency.
• Tasks must be submitted by specified deadlines and must meet the established acceptance criteria.
• Participation is project-based.
• Opportunities are part-time and non-permanent.
• Compensation can reach up to the equivalent of $100/hr, paid per accepted task (not a guaranteed hourly rate).
• Flexible workload estimated at approximately 10–20 hours per week during active project phases.
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