
Licensed Physician, Freelance AI Trainer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Florida.
• Assess clinical EHR vignettes accompanied by questions, suggested answers, and misleading “trap” options related to diagnosis and treatment tasks.
• Analyze cases that cover the cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.
• Evaluate the quality of clinical reasoning, the accuracy and completeness of vignettes, the correctness and gradeability of answers, and the quality of traps.
• Determine if vignettes provide answers based on their presented facts.
• Verify if reasoning chains derive answers solely from the facts within the vignettes.
• Correct reasoning paths and compose brief rationales.
• Operate within three independent blind reviews followed by physician adjudication.
• Complete tasks by specified deadlines and adhere to acceptance criteria.
• Must be a US-based, actively practicing physician (MD/DO).
• Hold a medical degree (MD or DO).
• Possess an active, unrestricted US medical license, validated with the issuing medical board.
• Have board certification or have completed residency training.
• Recent hands-on patient care experience; attending-level is 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 skills (C1+).
• CV must be submitted in English.
• Indicate English proficiency level.
• Prior experience in medical AI evaluation, clinical content or exam question review, or medical annotation/QA is advantageous.
• Candidates must not be medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare professionals.
• Engagement on a project-based basis.
• Part-time, non-permanent projects available.
• Compensation is provided per accepted task.
• Earnings can reach up to the equivalent of $100/hr, depending on qualification tier and task efficiency.
• Flexible workload estimated at approximately 10–20 hours per week during active project phases.
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