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

Posted 3 days ago
This is a fully remote position, open to applicants in Oregon.
• Analyze clinical EHR vignettes alongside questions, suggested answers, and distractor trap answers related to diagnosis and treatment tasks.
• Evaluate cases across various systems including cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary.
• Assess the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, as well as the quality of traps.
• Determine if reasoning leads to the correct answer based solely on facts from the vignette.
• Correct reasoning pathways and compose concise rationales.
• Engage in three independent blind reads followed by physician adjudication.
• Test, assess, and enhance medical AI systems for prominent technology companies.
• Must be a US-based, actively practicing physician with an MD or DO degree.
• Hold an active, unrestricted US medical license, verified by the issuing medical board.
• Possess board certification or have completed residency training.
• Recent experience in direct patient care is required; attending-level is preferred.
• Have extensive, multi-system diagnostic and treatment experience in internal, family, emergency, or hospital medicine.
• Demonstrate strong clinical reasoning capabilities in differential diagnosis, next-step management, and adherence to evidence-based guidelines.
• Previous experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is advantageous.
• Excellent written English proficiency (C1+ level).
• Submission of CV in English is required, along with an indication of English proficiency level.
• This role is not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare titles.
• All tasks must be submitted by specified deadlines and must meet the outlined acceptance criteria.
• Participation is project-based.
• Opportunities are part-time and non-permanent.
• Compensation is provided per accepted task.
• Payment can reach up to the equivalent of $100/hr, depending on qualification tier and task efficiency.
• Flexible workload, estimated at approximately 10–20 hours per week during active project phases.
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