Family Medicine / Primary Care Physician (San Francisco based, Talent Network)

**About the Role**
our client is taking applications for **Family Medicine / Primary Care Physicians (PCPs)** on behalf of a healthcare AI partner building advanced clinical decision-support tools. We hire multiple experts on this role every few weeks. In this role you 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

• This a talent network application where we store your details for multiple upcoming project

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