Collaborate with AI researchers to review, label, evaluate, and refine AI systems built to support healthcare professionals and enhance patient outcomes
Clinical Note & Record Review: Label and summarize clinical documentation to train and validate model understanding
Model Evaluation: Assess AI-generated medical content and recommendations for clinical accuracy, safety, and reasoning quality
Prompt Design & Testing: Develop and refine clinical prompts to improve model response quality and reliability
Error & Feedback Analysis: Identify and document patterns or limitations in model outputs to support fine-tuning and improve model performance

Licensed MD in the United States with active state medical license
US Board Certified
Strong familiarity with primary care workflows, documentation, and terminology
Excellent analytical, written, and clinical summarization skills
Native or near-native English proficiency
Strong attention to detail and commitment to clinical accuracy
Comfortable working independently and asynchronously in a distributed team environment

Flexible scheduling compatible with clinical or academic commitments
Fully remote participation from anywhere in the U.S.
Competitive compensation, paid weekly
The opportunity to work alongside fellow U.S. physicians and global AI researchers
A direct role in shaping how AI is safely integrated into real-world care settings

Primary Care Physician, AI Project

Key skills