About the role

US-licensed physicians evaluating EHR vignettes and clinical reasoning for Mindrift’s medical AI projects. Flexible, project-based remote work alongside clinical practice.

Responsibilities

Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractor trap answers across diagnosis and treatment tasks
Score benchmark-item clinical reasoning quality, vignette accuracy and completeness, answer disclosure, answer correctness and gradeability, and trap quality
Check 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
Complete project tasks within the project timeline and listed acceptance criteria
Participate in a time-limited, project-based AI evaluation project for leading technology companies through Mindrift

Medical degree (MD or DO)
Active, unrestricted US medical license, verified at onboarding and re-checked monthly
Actively practicing physician living outside the US
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+)
Submit a CV in English and indicate English proficiency
Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles

Paid per approved task at about $100/hr equivalent, with one flat rate for every approved task
Flexible contribution schedule; choose when and how much to contribute
Remote work from anywhere
No patient contact and no malpractice exposure
$50 one-time onboarding reward after the first production task is approved
Higher rate for QA and adjudication tasks
Incentives for high-quality approved tasks
Project-based participation