
Licensed Physician, Freelance AI Trainer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Assess clinical EHR vignettes alongside associated questions, proposed answers, and misleading distractor answers within diagnosis and treatment tasks.
• Examine cases covering 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 distractors.
• Determine if the reasoning leads to the answer solely based on facts presented in the vignette.
• Correct reasoning pathways and compose brief rationales.
• Engage in three independent blind assessments followed by physician adjudication.
• Complete tasks within deadlines and adhere to acceptance criteria.
• Licensed, practicing physician in the U.S. with an MD or DO.
• Current, unrestricted U.S. medical license, validated by the issuing medical board.
• Board certification or completion of residency training.
• Recent hands-on patient care experience; attending-level preferred.
• Extensive multi-system diagnostic and treatment knowledge in internal, family, emergency, or hospital medicine.
• Exceptional clinical reasoning skills, encompassing differential diagnosis, next-step management, and the application of evidence-based guidelines.
• Previous involvement in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is advantageous.
• Proficient written English (C1+).
• CV must be submitted in English with indicated English proficiency level.
• Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare titles.
• Compensation per accepted task.
• Competitive rate up to the equivalent of $100/hr, based on qualification tier and task efficiency.
• Part-time, project-based engagement.
• Flexible workload during active project phases (approximately 10–20 hours per week).
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