Licensed Physician, Freelance AI Trainer

Mindrift

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

Posted 11/7/2026part-timeRemote • Philippines, Malaysia, Indonesia, South Africa, Jamaica, United StatesMid-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 valid medical degree and active US medical license, with experience in direct patient care and medical AI evaluation.

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 AssessmentRationale WritingClinical Content ReviewMedical AnnotationQuality Assurance

Soft Skills

Strong Written English (C1+)

Tools & Technologies

AI ToolsClinical EHR Platforms

Certifications & Qualifications

Board CertificationCompleted Residency Training

Industry Keywords

Internal MedicineFamily MedicineEmergency MedicineHospital MedicineClinical EvaluationMedical AI

About the role

Key responsibilities & impact

Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractor answers across diagnosis and treatment tasks
Score clinical reasoning quality, vignette accuracy and completeness, answer correctness and gradeability, and distractor quality
Check whether reasoning chains reach answers from vignette facts alone
Correct reasoning traces and write short rationales
Participate in independent blind reads and physician adjudication
Complete project tasks through the platform and submit them for approval
Improve AI tools by evaluating clinical cases against project acceptance criteria

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 experience 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+)
Must be a licensed physician; not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles
Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is a plus

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
Remote work
No patient contact and no malpractice exposure
Flexible, time-limited project participation
Earnings paid per completed and approved task
Higher per-task rates for QA and adjudication tasks