About the role

US-licensed physicians evaluating clinical EHR vignettes and reasoning quality for Mindrift’s medical AI projects. Flexible, project-based 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 items for 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
Participate in three independent blind reads followed by physician adjudication
Complete project tasks within the project timeline and acceptance criteria
Contribute to testing, evaluating, and improving AI systems for leading technology companies

Actively practicing physician with an MD or DO medical degree
Active, unrestricted US medical license, verified at onboarding and re-checked monthly
Must be 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
Strong written English (C1+)
Prior medical AI evaluation, clinical content or exam-question review, or medical annotation/QA experience is a plus
Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles
Submit a CV in English and indicate English proficiency
Complete qualification(s) and meet project acceptance criteria

Paid per approved task at about $100/hr equivalent, with one flat rate for every approved task
Flexible contribution schedule and workload, estimated at about 10–20 hours/week while the project is active
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 for high-quality approved tasks
Project-based participation