Physician Reviewer, MD/DO – Medical AI Evaluation

Mindrift

. Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractor trap answers across diagnosis and treatment tasks .

Posted 10/30/2026part-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive clinical reasoning skills, including differential diagnosis and evidence-based management, while evaluating and improving medical AI systems. Holds a medical degree and active US medical license, with a strong background in multi-system diagnostics and treatment.

Highest-signal resume keywords

Medical Degree (MD Or DO)Active, Unrestricted US Medical LicenseBoard Certification Or Completed Residency TrainingStrong Clinical ReasoningExperience In Medical AI Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Clinical ReasoningDifferential DiagnosisEvidence-Based GuidelinesMulti-System Diagnostic ExperiencePatient CareVignette EvaluationAnswer Correctness AssessmentRationale WritingQuality AssuranceClinical Content Review

Soft Skills

Strong Written English

Industry Keywords

Medical AIClinical EHRInternal MedicineFamily MedicineEmergency MedicineHospital MedicinePhysician AdjudicationClinical AnnotationQAPatient Care Experience

About the role

Key responsibilities & impact

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 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
Work within three independent blind reads followed by physician adjudication
Complete project qualification and approved tasks within the project timeline and acceptance criteria
Help test, evaluate, and improve medical AI systems for leading technology companies

Requirements

What you’ll need

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
Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is a plus
Strong written English (C1+)
Actively practicing physician
Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles

Benefits

Comp & perks

Paid per approved task, about $100/hr equivalent; one flat rate for every approved task
$50 one-time onboarding reward, paid once your first production task is approved
Additional earnings for high-quality approved tasks
Flexible contribution schedule; choose when and how much to contribute
Work from anywhere
No patient contact and no malpractice exposure
Project-based participation
Tasks estimated at about 10–20 hours per week while the project is active
QA and adjudication tasks paid at a higher rate