Licensed Physician (MD/DO) - Freelance AI Trainer

Responsibilities: — Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks covering multiple body systems including cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary. — Score the clinical reasoning quality of benchmark items, assessing vignette accuracy and completeness, answer correctness and gradeability, and trap quality. — Verify if the reasoning chain reaches the answer from vignette facts alone, check correct reasoning traces, and write short rationales. — Participate in three independent blind reads followed by physician adjudication. Requirements: — Must be a US-based, actively practicing physician (MD or DO) with an active, unrestricted US medical license verified by the issuing medical board. — Board certification or completed residency training with recent direct patient care experience (attending-level preferred). — Broad 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. — Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is a plus. — Strong written English proficiency (C1+). — Not suitable for medical students, unlicensed graduates, non-physician clinicians, or non-clinical healthcare roles. Benefits: — Project-based participation with estimated 10-20 hours per week during active phases. — Compensation paid per accepted task, with rates up to the equivalent of $100 per hour depending on qualification tier and task completion efficiency. — Faster task completion increases effective hourly rate. Candidates are encouraged to submit their CV in English and indicate their level of English proficiency. Work is remote and project-based, suitable for US-based physicians open to part-time, non-permanent projects.