Shaping the Future of Healthcare AI: Resident Medical Specialist Role at Turing

Artificial intelligence is rapidly transforming every major industry, and healthcare is no exception. From assisting in diagnostic interpretation to streamlining administrative workflows, AI models are increasingly being deployed to support medical professionals. However, ensuring that these models adhere to rigorous clinical standards, navigate complex patient nuances, and maintain absolute safety requires deep medical expertise.

Recognizing this imperative, Turing—the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems—is offering an exceptional remote opportunity for licensed physicians: the Resident Medical Specialist (MD/DO) role.

About Turing and the Mission

Based in San Francisco, California, Turing supports customers through two core pillars: first, by accelerating frontier AI research with high-quality data, advanced training pipelines, and top-tier researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by helping global enterprises transform AI from proof of concept into reliable, production-grade intelligence.

For medical professionals, this initiative represents a chance to bridge clinical practice with cutting-edge technology, ensuring that next-generation medical AI systems are built on sound medical evidence and real-world clinical workflows.

What Your Day-to-Day Looks Like

As a Resident Medical Specialist at Turing, your primary objective is to work directly with AI research teams to evaluate and improve how artificial intelligence handles clinical reasoning. Rather than performing traditional telemedicine or chart reviews, your day-to-day responsibilities include:

• Designing Systematic Frameworks: Building robust evaluation frameworks specifically tailored to test AI performance on real medical problems.
• Crafting Clinical Scenarios: Creating sophisticated clinical scenarios and edge cases that test AI reasoning, differential diagnosis, and decision-making capabilities.
• Capturing Clinical Nuance: Developing assessment methods that reflect the intricate realities and ambiguities of daily medical practice.
• Identifying Knowledge Gaps: Pinpointing weaknesses in AI medical knowledge and collaborating with top-tier AI researchers to iteratively improve model performance.

Candidate Requirements: Are You a Fit?

Turing seeks dedicated medical professionals who combine clinical acumen with a passion for technological innovation. Ideal candidates will meet the following criteria:

• Active Licensure: Licensed physician (MD or DO) in active clinical practice across any medical specialty.
• Evidence-Based Expertise: Demonstrated experience with clinical decision-making and adherence to evidence-based medicine.
• AI Interest & Curiosity: A genuine interest in understanding how artificial intelligence can safely and effectively support clinical practice.
• Analytical & Communication Skills: Strong analytical rigor and clear communication abilities to articulate complex clinical nuances to technical research teams.

Perks of Working with Turing

Participating in this initiative offers unique professional and lifestyle benefits for busy clinicians:

• Complete Location Flexibility: Fully remote work structure allowing you to contribute from anywhere.
• Flexible Scheduling: Designed to fit around your active clinical shifts, hospital commitments, and personal schedule.
• Cutting-Edge Exposure: Gain firsthand insight into how frontier AI models are trained and evaluated at global tech scales.

Engagement Details & Onboarding Process

The engagement is structured to offer maximum flexibility while maintaining high standards of collaboration:

• Commitment: Up to 30 hours per week on a flexible schedule.
• Duration: 1-month initial duration, with strong potential for contract extensions based on performance and mutual fit.
• Onboarding & Stability Period: To ensure operational stability, successful candidates complete an initial onboarding phase comprising **10 hours of work**. This initial milestone verifies system access, workflow alignment, and stability, unlocking eligibility for ongoing and expanded project tasks.