About the role

US-licensed physicians evaluating clinical EHR vignettes and reasoning quality for Mindrift’s medical AI projects. Flexible, project-based contribution around clinical practice.

Responsibilities

Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractor trap answers across diagnosis and treatment tasks
Review cases spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems
Score 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-based tasks within stated timelines and acceptance criteria
Apply, pass qualification(s), join a project, complete tasks, and receive payment

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 evidence-based guidelines
Prior medical AI evaluation, clinical content or exam-question review, or medical annotation/QA experience 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

Paid per approved task at about $100/hr equivalent, with one flat rate for every approved task
Flexible contribution schedule around a clinical practice
Estimated 10–20 hours/week while the project is active; contributors choose when and how much to contribute
Contribute anytime, from anywhere
No patient contact and no malpractice exposure
$50 one-time onboarding reward, paid once the first production task is approved
QA and adjudication tasks paid at a higher rate
Incentives: additional earnings for high-quality approved tasks