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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in clinical reasoning and evaluation of medical AI tools, with a strong foundation in multi-system diagnostic and treatment practices. Possesses a medical degree and active US medical license, ensuring compliance with clinical standards and guidelines.
Highest-signal resume keywords
Medical Degree (MD or DO)Active, Unrestricted US Medical LicenseBoard Certification or Completed Residency TrainingStrong Clinical ReasoningMedical AI Evaluation Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Clinical ReasoningDifferential DiagnosisNext-Step ManagementEvidence-Based Guidelines ApplicationVignette EvaluationAnswer Correctness AssessmentClinical Content ReviewMedical AnnotationQuality AssuranceProject Task Completion
Soft Skills
Strong Written English (C1+)Attention to DetailEffective Communication
Certifications & Qualifications
Board CertificationCompleted Residency Training
Industry Keywords
Internal MedicineFamily MedicineEmergency MedicineHospital MedicineClinical EvaluationPatient CareBenchmark-Item ScoringVignette AccuracyPhysician AdjudicationAcceptance Criteria
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 benchmark-item 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
- Participate in three independent blind reads followed by physician adjudication
- Complete project tasks within the project timeline
- Improve medical AI tools through clinical evaluation
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 medical AI evaluation, clinical content or exam-question review, or medical annotation/QA experience is a plus
- Strong written English (C1+)
- Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles
- Must pass qualification(s)
- Tasks must meet listed acceptance criteria to be approved
Benefits
Comp & perks- Paid per approved task, about $100/hr equivalent
- Flexible contribution schedule; choose when and how much to contribute
- Estimated 10–20 hours/week while the project is active
- Contribute anytime, from anywhere
- No patient contact
- No malpractice exposure
- $50 one-time onboarding reward, paid once your first production task is approved
- Incentives: additional earnings for high-quality approved tasks
- Project-based participation
