[Hiring] Primary Care Physicians (US) — AI Residency @Aptura

Role Description

Aptura AI is recruiting U.S.-based Primary Care Physicians to join an upcoming AI project launching in two weeks. This is an opportunity for U.S.-licensed clinicians who want to help shape how AI understands and supports real-world clinical reasoning, patient interactions, and healthcare delivery.

As part of our expert network, you'll be matched to one of several AI initiatives based on your experience, subspecialty interests, and clinical background. You'll work alongside AI researchers to review, label, evaluate, and refine AI systems designed to support healthcare professionals and improve patient outcomes.

The role is fully remote and flexible — well suited to physicians balancing clinical, academic, or research commitments.

Our upcoming project launches in mid-April, with onboarding open now. You'll apply your clinical expertise to help build a high-quality clinical evaluation benchmark. The work spans:

• Synthetic patient persona validation
• Transcript realism and voice adherence review
• Medical rubric development
• LLM response evaluation

All tasks are completed asynchronously through a dedicated labeling platform, using your independent clinical judgment.

Qualifications

• MD licensed in the United States with an active state medical license
• U.S. Board Certified
• Strong familiarity with primary care or internal medicine workflows, documentation, and terminology
• Excellent analytical, written, and clinical summarization skills
• Native or near-native English proficiency
• Strong attention to detail and a commitment to clinical accuracy
• Comfortable working independently and asynchronously in a distributed team
• Minimum commitment of 10 hours per week

Benefits

• Flexible scheduling that fits around clinical or academic commitments
• Fully remote participation from anywhere in the U.S.
• Competitive compensation, paid weekly
• The chance 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