Remote | Primary Care Physicians — Up to $130/hr

We are sharing a specialised part-time consulting opportunity for Primary Care Physicians with strong clinical expertise, healthcare workflow knowledge, and experience applying medical judgment in real-world care settings.

This role supports a leading healthcare AI partner building next-generation clinical intelligence systems and AI agents designed to automate complex workflows, enhance decision-making, and improve care delivery at scale.

Selected professionals will help review and structure clinical data, validate AI-generated medical outputs, define nuanced clinical scenarios, and contribute to improving the clinical accuracy, safety, and real-world alignment of advanced healthcare AI systems.

Key Responsibilities

Professionals in this role may contribute to:

Clinical Data Annotation & Structuring
Review and annotate clinical text, EHR data, and patient case notes
Identify diagnoses, co-morbidities, treatment plans, and outcomes
Structure complex medical information for AI training and reasoning workflows

Quality Assurance & Clinical Validation
Audit annotated datasets to ensure high clinical accuracy and consistency
Validate AI-generated outputs, including summaries, recommendations, and care pathways
Ensure outputs align with real-world standards of care and clinical guidelines

Clinical Knowledge Integration
Contribute to the development of annotation guidelines, taxonomies, and decision frameworks
Define edge cases and nuanced clinical scenarios
Collaborate with cross-functional teams to improve model understanding of medical context

AI Model Evaluation & Feedback
Evaluate AI systems designed to support clinical workflows and decision-making
Flag inaccuracies, hallucinations, or unsafe outputs
Provide structured feedback to improve model performance iteratively

Workflow & Systems Thinking
Help map real-world clinical workflows such as documentation, diagnosis, and treatment planning into AI-compatible processes
Support development of AI systems that integrate more effectively into healthcare operations

Documentation & Training Support
Contribute to clinical documentation standards for AI systems
Assist in onboarding and training new clinical annotators

Ideal Profile

Strong candidates may have:
MD or DO
Board certification or board eligibility
Active medical license in good standing
2+ years of clinical experience, preferably in inpatient or hospitalist settings
Strong clinical judgment and experience with real-world care workflows
Strong written and verbal communication skills
Ability to evaluate complex medical information with precision and consistency

Preferred qualifications

Academic hospital experience
Experience working with EHR data, clinical notes, and structured medical documentation
Comfort collaborating with technical and cross-functional teams
Ability to support annotation quality, clinical review, and model evaluation workflows
Interest in healthcare AI, medical reasoning systems, and clinical operations improvement

Why This Opportunity

Work on cutting-edge AI systems transforming healthcare workflows
Directly shape how AI understands and supports real-world clinical decision-making
Collaborate with top AI researchers and engineers
Flexible remote work with competitive compensation

Contract Details

Independent contractor role
Fully remote with flexible scheduling
Compensation range of $100–$130 per hour
Weekly payments via Stripe or Wise
Projects may be extended, shortened, or concluded early depending on project needs and performance
Work will not involve access to confidential or proprietary information from any employer, client, or institution
Please note: We are unable to support H1-B or STEM OPT candidates at this time
Candidates must be based in the United States

About the Platform

This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.

Experts contribute to improving advanced AI systems by providing specialised expertise across clinical reasoning, healthcare workflows, medical data structuring, and domain-specific evaluation.

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