Physician Reviewer, Medical AI Evaluation

Mindrift

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

Posted 11/7/2026contractRemote • Texas • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong clinical reasoning and diagnostic skills, with a focus on evidence-based guidelines and multi-system treatment experience. Holds an active US medical license and possesses direct patient care experience, ensuring high-quality evaluation of clinical content.

Highest-signal resume keywords

Medical Degree (MD Or DO)Active, Unrestricted US Medical LicenseBoard Certification Or Completed Residency TrainingStrong Clinical ReasoningDirect Patient Care Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Differential DiagnosisNext-Step ManagementEvidence-Based Guidelines ApplicationClinical Content ReviewMedical AnnotationQuality Assurance (QA)Vignette EvaluationAnswer Disclosure AssessmentReasoning Trace CorrectionRationale Writing

Soft Skills

Strong Written English (C1+)

Tools & Technologies

Clinical EHR Platforms

Certifications & Qualifications

Board CertificationCompleted Residency Training

Industry Keywords

Internal MedicineFamily MedicineEmergency MedicineHospital MedicineMedical AI Evaluation

About the role

Key responsibilities & impact

Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractor trap answers across diagnosis and treatment tasks
Score the clinical reasoning quality of benchmark items, including 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 and physician adjudication
Complete project tasks through the platform
Pass qualification(s), join the project, complete approved tasks, and receive payment

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
Direct patient care experience; 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 experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is a plus
US-licensed physician based in an eligible US state
Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles

Benefits

Comp & perks

$50 one-time onboarding reward, paid once your first task on the project is approved
Quality incentives: additional earnings for high-quality approved tasks, on terms set out in the project guidelines
Fully self-scheduled: no minimum hours and no set schedule
Flexible, time-limited project participation
Remote work
No patient contact and no malpractice exposure
Earnings paid for completed and approved tasks
Higher per-task rates for QA and adjudication tasks