About the role

US-licensed physicians evaluating EHR clinical cases for Mindrift’s medical AI projects. Reviewing diagnoses, treatments, reasoning quality, and benchmark answer accuracy.

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
Participate in three independent blind reads followed by physician adjudication
Complete project tasks within timelines and listed acceptance criteria

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

Flexible project-based work fitting around clinical practice
Estimated 10–20 hours per week while the project is active; contributor chooses when and how much to contribute
Work from anywhere
No patient contact
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