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

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
β’ Evaluate clinical EHR vignettes alongside corresponding questions, proposed answers, and distractor trap answers related to diagnosis and treatment tasks.
β’ Analyze vignettes covering a range of systems including cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary.
β’ Assess the quality of clinical reasoning, accuracy and completeness of vignettes, answer disclosure, correctness and gradeability of answers, and quality of trap answers.
β’ Confirm that reasoning chains derive answers solely from the facts presented in the vignettes.
β’ Revise reasoning pathways and compose brief rationales.
β’ Participate in three independent blind reads followed by physician adjudication.
β’ Meet submission deadlines and adhere to specified acceptance criteria.
β’ Must be a US-based, actively practicing physician (MD/DO).
β’ Hold a medical degree (MD or DO).
β’ Possess an active, unrestricted US medical license, confirmed by the issuing medical board.
β’ Have board certification or completed residency training.
β’ Recent experience in direct patient care; attending-level experience preferred.
β’ Extensive diagnostic and treatment experience across multiple systems in internal, family, emergency, or hospital medicine.
β’ Excellent clinical reasoning skills, including the ability to perform differential diagnosis, next-step management, and apply evidence-based guidelines.
β’ Proficient written English skills (C1+ level).
β’ CV must be submitted in English, indicating English proficiency level.
β’ This position is not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare titles.
β’ Engage in part-time, project-based work.
β’ Compensation provided per accepted task.
β’ Earnings can reach up to the equivalent of $100/hour, based on qualification tier and task efficiency.
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