Mercor
Family Medicine / Primary Care Physician
Mercor, San Francisco, California, United States, 94199
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 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 Remote , 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.
Would you like me to make a
shorter version
of this role (e.g., for a job board posting or LinkedIn format)?
#J-18808-Ljbffr
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 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 Remote , 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.
Would you like me to make a
shorter version
of this role (e.g., for a job board posting or LinkedIn format)?
#J-18808-Ljbffr