Licensed Physician, Freelance AI Trainer
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Job Description
US-licensed physicians evaluating EHR vignettes and clinical reasoning for Mindrift’s medical AI projects. Flexible, task-based freelance work with no minimum hours.
Responsibilities:
- Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractor answers across diagnosis and treatment tasks
- Score clinical reasoning quality, vignette accuracy and completeness, answer correctness and gradeability, and trap quality
- Check whether reasoning chains reach answers from vignette facts alone
- Correct reasoning traces and write short rationales
- Participate in physician adjudication after three independent blind reads
- Submit tasks through the platform and complete only tasks that fit the contributor’s chosen schedule
- Improve AI tools through clinical case evaluation
Requirements:
- Medical degree (MD or DO)
- Active, unrestricted US medical license, verified at onboarding and re-checked monthly
- Board certification or completed residency training
- Direct patient care experience; 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 evidence-based guidelines
- Strong written English (C1+)
- Must pass qualification(s)
- Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is a plus
- Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles
Benefits:
- Fixed rate for each approved task, set in advance
- Fully self-scheduled with no minimum hours or set schedule
- Remote work
- No patient contact or malpractice exposure
- $50 one-time onboarding reward, paid once the first task is approved
- Quality incentives: additional earnings for high-quality approved tasks
- Flexible, time-limited project participation
- Independent contractor opportunity with task-based payment
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