Turing
The role involves applying medical expertise to train and evaluate advanced AI systems by designing medical problem solutions, reviewing AI-generated medical answers, identifying knowledge gaps, and collaborating with AI researchers and medical experts to improve model performance and training methods.
Key Responsibilities
- • Design and solve challenging medical problems, from diagnostic analysis to clinical case reviews
- • Review AI-generated answers, assessing their accuracy, depth of reasoning, and clarity
- • Spot knowledge gaps and edge cases, and propose improvements to strengthen model performance
- • Collaborate with AI researchers and fellow medical experts to shape training methods, evaluation strategies, and benchmarks
- • Provide structured feedback and insights that guide the development of next-generation AI for medicine and science
Required
- • Resident physicians from US, Canada, or Western Europe are welcome to apply
- • Strong communication skills and ability to collaborate effectively with technical research teams
Preferred
- • Background in any of the following areas is preferred: Internal Medicine, Primary Care, Public Health, Pediatrics, Surgery, Anesthesia, or Diagnostic Specialties
Company Overview
Industry: Healthcare Technology
Company Size: 500-1,000 employees
Founded: 2015
Headquarters: San Francisco, CA
Company Links
Key Contacts
Contact information not available
About the Company
Leading healthcare technology company focused on improving patient outcomes through innovative digital solutions. We're transforming the way healthcare is delivered with cutting-edge technology and data-driven insights. Our platform serves over 10,000 healthcare professionals and has processed millions of patient interactions.
Recent News & Updates
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
As a medical specialist, you will bring your subject-matter knowledge to help train and evaluate frontier AI systems. A typical day might include:
- Design and solve challenging medical problems, from diagnostic analysis to clinical case reviews
- Review AI-generated answers, assessing their accuracy, depth of reasoning, and clarity
- Spot knowledge gaps and edge cases, and propose improvements to strengthen model performance
- Collaborate with AI researchers and fellow medical experts to shape training methods, evaluation strategies, and benchmarks
- Provide structured feedback and insights that guide the development of next-generation AI for medicine and science
Candidate Requirements
- Resident physicians from US, Canada, or Western Europe are welcome to apply
- Background in any of the following areas is preferred: Internal Medicine, Primary Care, Public Health, Pediatrics, Surgery, Anesthesia, or Diagnostic Specialties
- Strong communication skills and ability to collaborate effectively with technical research teams
Engagement Details
- Commitment: flexible engagement, remote working, minimum 10 hrs/week, up to 40 hrs/week.
- Duration: 1 month potential extensions based on performance and fit.
Keep track of your job search
Save personal notes for each job to track your thoughts, application status, and follow-ups.
Try for freeAI-powered resume customization
Let AI tailor your resume for each job to highlight your most relevant experience and skills.
Try for free