
Physician Reviewer, MD/DO – Medical AI Evaluation
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Canada.
• Assess clinical EHR vignettes alongside questions, suggested answers, and distractor trap answers related to diagnosis and treatment tasks.
• Analyze cases covering cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.
• Evaluate vignette accuracy and completeness, answer disclosure, answer correctness and gradeability, as well as trap quality.
• Determine if reasoning chains lead to answers based solely on vignette facts.
• Correct reasoning paths and provide concise rationales.
• Engage in three independent blind reads followed by physician adjudication.
• Fulfill project tasks within specified timelines and acceptance criteria.
• Currently practicing physician residing outside the United States.
• Medical degree (MD or DO).
• Active, unrestricted US medical license, verified at onboarding and re-checked monthly.
• Board certification or completion of residency training.
• Recent experience in direct patient care; attending-level 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.
• Proficient written English (C1+).
• Curriculum Vitae submitted in English.
• Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals holding non-clinical healthcare titles.
• Flexible project-based work that accommodates clinical practice.
• Estimated 10–20 hours of work per week while the project is active; contributors have the freedom to choose when and how much they contribute.
• Opportunity to work from any location.
• No patient interaction required.
• No risk of malpractice exposure.
• One-time onboarding reward of $50, paid after the first production task is approved.
• QA and adjudication tasks compensated at a higher rate.
• Incentives available for high-quality approved tasks.
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