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

Posted 3 days ago
This is a fully remote position, open to applicants in Minnesota.
• Analyze clinical EHR vignettes alongside questions, suggested answers, and distractor answers 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, the accuracy and completeness of vignettes, the transparency of answers, correctness and gradeability of responses, and the quality of distractors.
• Confirm if reasoning paths lead to answers based solely on the facts presented in the vignettes.
• Amend reasoning paths and compose brief rationales.
• Conduct three independent blind evaluations followed by adjudication by a physician.
• Adhere to deadlines for task submissions and fulfill specified acceptance criteria.
• Must be a US-based, actively practicing physician.
• Hold a medical degree (MD or DO).
• Possess an active, unrestricted US medical license, validated by the issuing medical board.
• Have board certification or have completed residency training.
• Recent hands-on patient care experience is preferred, ideally at the attending level.
• Extensive experience in diagnostic and treatment approaches across multiple systems in internal, family, emergency, or hospital medicine.
• Demonstrate strong clinical reasoning skills, including differential diagnosis, management of next steps, and the implementation of evidence-based guidelines.
• Proficient in written English (C1+ level).
• Experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is advantageous.
• Not appropriate for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare roles.
• Engage in project-based opportunities.
• Access part-time project roles.
• Earn compensation up to the equivalent of $100/hr, paid for each accepted task.
• Enjoy a flexible workload during active project phases (estimated 10–20 hours per week).
• Contribute to the enhancement of AI tools utilized in clinical practice.
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