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

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Assess clinical EHR vignettes in conjunction with associated questions, suggested answers, and distractor “trap” options across diagnosis and treatment scenarios.
• Evaluate the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, as well as the quality of trap answers.
• Determine if reasoning chains derive answers solely from the facts presented in the vignettes.
• Rectify reasoning traces and compose concise rationales.
• Engage in three independent blind evaluations followed by adjudication by physicians.
• Complete tasks within specified deadlines and adhere to established acceptance criteria.
• Must be a US-based, actively practicing physician with either an MD or DO degree.
• Possess an active, unrestricted US medical license, confirmed by the issuing medical board.
• Hold board certification or have completed residency training.
• Recent experience in direct patient care is required; attending-level experience is preferred.
• Extensive, multi-system diagnostic and treatment experience in internal, family, emergency, or hospital medicine.
• Excellent clinical reasoning skills, including differential diagnosis, next-step management, and the ability to apply 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.
• This position is not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare titles.
• A CV must be submitted in English, indicating the level of English proficiency.
• Compensation is provided per accepted task.
• Earnings can reach up to the equivalent of $100/hr, based on qualification tier and task efficiency.
• This role offers part-time, project-based work.
• Enjoy a flexible workload during active project phases, estimated at 10–20 hours per week.
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