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Remote Family Medicine / Primary Care Physician (San Francisco based) - AI Trainer ($150-$170 per hour)
Remote Family Medicine / Primary Care Physician (San Francisco based) - AI Trainer ($150-$170 per hour)Mercor • On site
Remote Family Medicine / Primary Care Physician (San Francisco based) - AI Trainer ($150-$170 per hour)

Remote Family Medicine / Primary Care Physician (San Francisco based) - AI Trainer ($150-$170 per hour)

Mercor • On site
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.part_time]
  • [filters.remote]
[job_card.job_description]
  • 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 This position combines your knowledge of
  • primary care, diagnosis, and treatment
  • with the emerging field of
  • clinical data curation and AI model training
  • — helping bridge the gap between frontline medicine and artificial intelligence.
  • ###
  • 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 outpatient or primary care settings. - Strong understanding of
  • preventive, acute, and chronic disease management.
  • Familiarity with
  • EHR systems, clinical documentation
  • , and standard terminologies (ICD-10, CPT, SNOMED). - Excellent attention to detail and ability to interpret nuanced medical language. - Interest or prior exposure to
  • medical AI, data annotation, or health informatics
  • preferred.
  • ###
  • Work Arrangement
  • In person (SF)
  • , part-time role (up to
  • 10 hours per week
  • ). - Flexible schedule — ideal for practicing clinicians seeking to contribute to next-generation healthcare technology. - Ongoing opportunities for
  • professional growth
  • in applied medical AI and data science collaboration.
  • ###
  • Why Join
  • Shape the future of
  • AI-assisted primary care
  • by ensuring that medical models reflect real-world clinical expertise. - Collaborate with cross-functional teams dedicated to
  • accuracy, ethics, and patient safety
  • . - Gain exposure to
  • AI-driven healthcare innovation
  • while maintaining flexibility and clinical involvement. - Be part of a mission to make
  • accessible, evidence-based, and intelligent healthcare
  • a global reality.
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