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Medical Specialist

Remote / Online - Candidates ideally in
Columbus, Franklin County, Ohio, 43224, USA
Listing for: Turing
Remote/Work from Home position
Listed on 2026-07-24
Job specializations:
  • Business
    AI Evaluation
Salary/Wage Range or Industry Benchmark: 55104 - 82656 USD Yearly USD 55104.00 82656.00 YEAR
Job Description & How to Apply Below
Position: Medical Specialist - 33805

Overview

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, and 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.

Responsibilities
  • Design and solve advanced medical problems, ranging from diagnostic scenarios to complex clinical case reviews
  • Review AI-generated answers, assessing their accuracy, depth of reasoning, 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
  • Attending physicians are welcome to apply
  • Minimum 1 year of clinical practice experience in the US, Canada, or Western Europe
  • Background in any of the following areas is preferred:
    Internal Medicine, Primary Care, Pediatrics, Surgery, Anesthesia, or Diagnostic Specialties
  • Strong communication skills and ability to collaborate effectively with technical research teams
  • Commitment: flexible engagement, remote working, up to 30 hrs/week
  • Duration: 1 month, with potential extensions based on performance and fit
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