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

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Assess clinical EHR vignettes alongside questions, suggested answers, and distractor trap answers related to diagnosis and treatment tasks.
• Evaluate the quality of clinical reasoning, the accuracy and completeness of vignettes, the correctness and gradeability of answers, and the quality of trap answers.
• Determine if reasoning chains arrive at answers based solely on the facts presented in the vignettes.
• Rectify reasoning traces and compose brief rationales.
• Engage in three independent blind reviews followed by physician adjudication.
• Enhance AI tools through the evaluation of clinically intricate benchmark items.
• Must be a US-based, actively practicing physician with either an MD or DO degree.
• Possess an active, unrestricted US medical license, validated by the issuing medical board.
• Board certification or completion of residency training is required.
• Recent experience in direct patient care; attending-level experience is preferred.
• Extensive multi-system diagnostic and treatment experience in internal, family, emergency, or hospital medicine.
• Strong clinical reasoning skills, including differential diagnosis, next-step management, and application of evidence-based guidelines.
• Previous experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is advantageous.
• Proficient written English skills (C1+ level).
• This role is not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare titles.
• Tasks must be submitted by the specified deadline and meet established acceptance criteria.
• Compensation is provided for each accepted task.
• Earnings can reach up to the equivalent of $100/hour, depending on qualification tier and task efficiency.
• This position offers part-time, non-permanent, project-based work.
• Enjoy a flexible workload of approximately 10–20 hours per week during active project phases.
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