Conseiller en IA et innovation numérique pour l’Université Canadienne de Kinshasa. Formation, mentorat et accompagnement de projets numériques à distance.
About the role
- Physician evaluating clinical EHR vignettes and reasoning quality for Mindrift’s medical AI programs. Reviewing diagnosis, treatment, and distractor answers in project-based remote work.
Responsibilities
- Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractor “trap” answers across diagnosis and treatment tasks
- Assess vignettes covering cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems
- Score clinical reasoning quality, vignette accuracy and completeness, answer disclosure, answer correctness and gradeability, and trap quality
- Verify whether reasoning chains reach answers from vignette facts alone
- Correct reasoning traces and write short rationales
- Work within three independent blind reads followed by physician adjudication
- Submit tasks by deadlines and meet listed acceptance criteria
Requirements
- US-based, actively practicing physician (MD/DO)
- Medical degree (MD or DO)
- Active, unrestricted US medical license, verified with the issuing medical board
- Board certification or completed residency training
- Recent direct patient care; attending-level preferred
- Broad, multi-system diagnostic and treatment experience in internal, family, emergency, or hospital medicine
- Strong clinical reasoning, 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 (C1+)
- Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles
- CV must be submitted in English with English proficiency level indicated
Benefits
- Paid per accepted task
- Compensation up to the equivalent of $100/hr, depending on qualification tier and task efficiency
- Part-time, project-based work
- Flexible workload during active project phases (estimated 10–20 hours per week)
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