Resident Medical Expert (MDDO)

About Us:

Based in San Francisco California Turing is the worlds 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.
• Youll 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.

After applying you will receive an email with a login link. Please use that link to access the portal and complete your profile.