
Licensed Physician, Freelance AI Trainer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Utah.
• Assess clinical EHR vignettes accompanied by questions, suggested answers, and distractor "trap" answers related to diagnosis and treatment tasks.
• Review cases that cover cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.
• Evaluate the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, and quality of traps.
• Determine if reasoning leads to the answer based solely on the facts provided in the vignette.
• Correct reasoning pathways and create concise rationales.
• Collaborate through three independent blind readings followed by physician adjudication.
• Complete tasks by established deadlines and fulfill specified acceptance criteria.
• 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.
• Have recent direct patient care experience, with a preference for those at the attending level.
• Demonstrate extensive multi-system diagnostic and treatment experience in internal, family, emergency, or hospital medicine.
• Exhibit strong clinical reasoning skills, including differential diagnosis, next-step management, and application of evidence-based guidelines.
• Previous experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is advantageous.
• Proficient in written English (C1+ level).
• This position is not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals holding non-clinical healthcare titles.
• A CV must be submitted in English, indicating the applicant's level of English proficiency.
• Opportunity for part-time, non-permanent, project-based work.
• Estimated tasks amount to approximately 10–20 hours per week during active project phases.
• Compensation is provided per accepted task.
• Pay rate is based on qualification tier and task completion efficiency, with potential earnings up to the equivalent of $100/hr.
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