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About the Role
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 You'll Do
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)
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.
Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
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
