Family Medicine Physician for AI Model Evaluation

Join a dynamic team as a Family Medicine / Primary Care Physician, where your clinical expertise will play a crucial role in shaping the future of healthcare through advanced AI technology. In this position, you will engage in the review, annotation, and validation of medical data, directly contributing to the development of safe, accurate, and explainable medical AI systems. This is an in-person role based in San Francisco. Key Responsibilities

• Clinical Data Annotation: Review and label clinical text, EHR data, and case notes for 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.

• 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.
• This is a talent network application where we store your details for multiple upcoming projects.