Resident Medical Specialist (MD/DO)

Design evaluation methods to enhance AI clinical reasoning in real scenarios.

About Us

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

What does day-to-day look like:

Work with research teams to evaluate and improve how AI systems handle clinical reasoning. You'll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference.

• Design systematic evaluation frameworks for medical AI systems
• Create clinical scenarios that test AI reasoning and decision-making capabilities
• Build assessment methods that capture the nuance of clinical practice
• Identify gaps in AI medical knowledge and reasoning
• Collaborate with AI researchers to improve model performance

Candidate Requirements:

• Licensed physician in active clinical practice (any specialty)
• Experience with clinical decision-making and evidence-based medicine
• Interest in how AI can support clinical practice
• Strong analytical and communication skills

Why it Matters:

Help shape the next generation of medical AI by ensuring these systems can handle the complexity of real clinical practice. Remote work with flexible scheduling around your clinical commitments.

Engagement details:

• Commitment: flexible engagement, remote working, up to 30 hrs/week
• Duration: 1 month, with potential extensions based on performance and fit

Skills: Critical Thinking, Problem Solving, Public Health, Pediatrics, Emergency Medicine, Obstetrics & Gynecology, Gynecological Oncology