
Physician, Medical AI Evaluation – Part-Time
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States.
• Analyze clinical EHR vignettes alongside questions, proposed answers, and distractor options related to diagnosis and treatment tasks.
• Evaluate vignettes covering cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.
• Assess the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, and quality of distractors.
• Determine if reasoning chains lead to answers based solely on facts provided in the vignette.
• Revise reasoning pathways and compose brief rationales.
• Engage in three independent blind evaluations followed by physician review.
• Complete tasks by set deadlines and adhere to acceptance standards.
• Must be a US-based, actively practicing physician with an MD or DO degree.
• Hold an active, unrestricted US medical license, confirmed by the issuing medical board.
• Possess board certification or have completed residency training.
• Recent experience in direct patient care is preferred; attending-level experience is ideal.
• Have 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/quality assurance is advantageous.
• Excellent written English skills (C1+ level).
• This opportunity is not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare roles.
• A CV must be submitted in English, along with an indication of English proficiency level.
• Compensation is provided per accepted task, with rates determined by qualification tier and task efficiency.
• Potential earnings of up to $80/hr.
• Flexible part-time engagement on a project basis (estimated 10–20 hours per week during active phases).
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