Family Medicine / Primary Care Physician (San Francisco based) (Train AI Models Part Time!)

**About the Role** Mercor is hiring **Family Medicine / Primary Care Physicians (PCPs)** on behalf of a healthcare AI partner building advanced clinical decision-support tools. In this role, you will leverage your clinical expertise to **review, annotate, and validate medical data**, contributing directly to the development of **safe, accurate, and explainable medical AI systems**. This is an in person position based in San Francisco ### **Key Responsibilities** - **Clinical Data Annotation:** Review and label clinical text, EHR data, and case notes for use in AI model training. Identify and validate medical entities, diagnoses, treatment pathways, and outcomes relevant to family medicine. - **Quality Review & Validation:** Audit annotated datasets for clinical accuracy and consistency. Cross-check outputs generated by AI models to ensure medical soundness. - **Knowledge Contribution:** Provide expert input on guidelines for annotation, taxonomy development, and edge case definitions. Collaborate with data scientists and engineers to improve AI understanding of medical context. - **Model Evaluation & Feedback:** Evaluate AI-generated recommendations or clinical summaries, flag inaccuracies, and provide structured feedback for iterative model refinement. - **Documentation & Training Support:** Contribute to the creation of clinical documentation standards and assist in developing onboarding materials for new annotators. ### **Requirements** - MD or DO degree with specialization in **Family Medicine** or **Internal Medicine**. - **Board-certified or board-eligible** in Family Medicine or Internal Medicine. - Active **medical license** in good standing. - Academic hospital experience preferred - **2+ years of clinical experience** in in-patient or hospitalist care settings. * * *