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 11/7/2026part-timeRemote • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in clinical reasoning and evaluation of medical cases, with a strong foundation in differential diagnosis and evidence-based guidelines. Holds a medical degree and an active US medical license, with experience in direct patient care and familiarity with medical AI tools.

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

Clinical ReasoningDifferential DiagnosisNext-Step ManagementEvidence-Based GuidelinesVignette EvaluationAnswer Correctness AssessmentMedical AnnotationQuality AssuranceClinical Content ReviewScoring Clinical Reasoning Quality

Soft Skills

Strong Written English (C1+)

Tools & Technologies

Medical AI ToolsEHR Platforms

Certifications & Qualifications

Board CertificationCompleted Residency Training

Industry Keywords

Internal MedicineFamily MedicineEmergency MedicineHospital MedicineClinical EvaluationPatient Care ExperienceMedical AnnotationQA 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
Score clinical reasoning quality, vignette accuracy and completeness, answer correctness and gradeability, whether the vignette gives away the answer, 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 through the platform and submit them for approval
Improve medical AI tools through evaluation of written clinical cases

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 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

Benefits

Comp & perks

Fixed rate for each approved task, set in advance
Fully self-scheduled work with no minimum hours or set schedule
$50 one-time onboarding reward, paid once the first task on the project is approved
Quality incentives: additional earnings for high-quality approved tasks
Flexible participation around other commitments
No time tracking or hour logging
Higher per-task rate for QA and adjudication tasks