Internal Medicine Physicians (US) — AI Trainer
Aptura AI is recruiting Internal Medicine Physicians based in the United States to participate in an upcoming AI project scheduled to begin in two weeks. This is an opportunity for U.S licensed clinicians interested in shaping how AI understands and augments 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 interest, and clinical background. You’ll collaborate with AI researchers to review, label, evaluate, and refine AI systems built to support healthcare professionals and enhance patient outcomes. This role is fully remote, flexible, and ideal for physicians balancing clinical, academic, or research commitments. Project Overview Our upcoming project launches in mid-April, with onboarding now open. You'll be applying your clinical expertise to build a high-quality clinical evaluation benchmark. The work involves synthetic patient persona validation, transcript realism and voice adherence review, medical rubric development, and LLM response evaluation. All tasks are completed asynchronously through a dedicated labeling platform using independent clinical judgment.
Requirements
Licensed MD in the United States with active state medical license US Board Certified Strong familiarity with primary or internal medicine care workflows, documentation, and terminology Excellent analytical, written, and clinical summarization skills Native or near-native English proficiency Strong attention to detail and commitment to clinical accuracy Comfortable working independently and asynchronously in a distributed team environment Commitment of 10 hours per week minimum
What We Offer
Flexible scheduling compatible with clinical or academic commitments Fully remote participation from anywhere in the U.S. Competitive compensation, paid weekly The opportunity 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 settings Apply To This Job