Family Medicine Primary Care Physician

Mercor; Berlin; Remote; EUR 150.000 - 200.000; Teilzeit

Zusammenfassung

A healthcare AI partner is seeking Family Medicine / Primary Care Physicians to leverage clinical expertise in annotating medical data for developing safe AI systems. This remote part-time position (up to 10 hours weekly) allows practicing clinicians to influence AI-assisted primary care while contributing to healthcare technology innovation. Ideal candidates will have an MD or DO degree, board certification, and a strong background in preventive and chronic disease management.

Leistungen

Flexible schedule

Professional growth opportunities in AI

Opportunity to contribute to healthcare innovation

Qualifikationen

• MD or DO degree with specialization in Family Medicine.
• 2 years of clinical experience in outpatient or primary care settings.
• Strong understanding of preventive acute and chronic disease management.

Aufgaben

• Review and label clinical text and case notes for AI training.
• Audit annotated datasets for clinical accuracy and consistency.
• Provide expert input on annotation guidelines and development.

Kenntnisse

Attention to detail

Understanding of disease management

Experience with EHR systems

Interpretation of medical language

Interest in medical AI

Ausbildung

MD or DO degree

Board-certified in Family or Internal Medicine

Jobbeschreibung

About the Role Mercor is hiring Family Medicine / Primary Care Physicians (PCPs) on behalf of a healthcare AI partner building advanced clinical decision-support 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.