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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in evaluating AI-generated health content and ensuring medical accuracy, with a strong background in clinical practice and the ability to create and assess complex tasks for AI training initiatives.
Highest-signal resume keywords
US Medical LicenseClinical ExperienceMedical Accuracy AssessmentTask Creation for AI TrainingStrong Written English (C1+)
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 DiagnosisPatient ManagementAI Content AnnotationQuality Criteria EvaluationDiagnostic Reasoning
Soft Skills
Deadline ManagementAttention to Detail
Certifications & Qualifications
Degree in MedicineLicensed Clinical Professional
Industry Keywords
Health AIClinical PracticePatient DataAmbiguous Task DesignProject-Based Health Initiatives
About the role
Key responsibilities & impact- Annotate and evaluate AI-generated health content
- Review responses to clinical questions and assess medical accuracy and safety
- Label AI outputs against clear quality criteria
- Create complex, realistic tasks for frontier AI agents using scattered patient data, conditional clinical procedures, and diagnostic reasoning
- Build detailed task versions with objective scoring
- Write ambiguous task versions designed to train AI agents to succeed with less guidance
- Contribute to project-based health-focused AI training initiatives
Requirements
What you’ll need- Submit CV in English and indicate English proficiency level
- US-based practicing physician or licensed adjacent clinical professional
- Degree in Medicine, or degree in a related field (nursing, psychology, dietetics, etc.) with clinical training that includes diagnosing and managing medical conditions
- Current, valid US license to practice
- Active clinical practice
- 3+ years of hands-on clinical experience
- Strong written English (C1+)
- Specialists and senior practitioners are welcome
- Tasks must be submitted by deadlines and meet listed acceptance criteria
Benefits
Comp & perks- Project-based, non-permanent work
- Part-time project opportunities
- Estimated workload of 10–20 hours per week during active project phases
- Opportunity to work on health-focused AI training projects for leading tech companies