Medical Experts

Quality Talent Group
Long Beach, NY

Our client is a leading force in advancing safer, smarter AI technology. Their work has been featured in Forbes , The New York Times , and other major outlets for pioneering high-quality, human-verified data that powers today’s top AI systems.

They have built a global community of expert contributors and have paid more than $500 million to professionals all over the world who help train, test, and improve next-generation AI models.

What you’ll do

  • Create and answer medicine-related questions to help train AI models.
  • Review, analyze, and rank AI chains of thought for clinical accuracy and reasoning approach.
  • Provide clear, constructive feedback to improve AI-generated responses.
  • Contribute to different projects depending on your medical expertise.

Why join this team?

  • Earn $39/hr , paid weekly.
  • Payments via PayPal or AirTM.
  • No contracts, no 9-to-5 - you control your schedule.
  • Most experts work 5-10 hours/week, with the option to work up to 40 hours from home.
  • Join a global community of experts contributing to advanced AI tools.
  • Free access to the Model Playground to interact with leading LLMs.

Requirements

  • Medical Degree (MD, DO, MBBS) with clinical experience; graduates of accredited medical programs.
  • Deep subject-matter expertise and ability to create complex, graduate-level clinical problems.
  • Strong analytical and problem-solving skills with experience developing rigorous medical questions and solutions.
  • High attention to detail to accurately assess AI capabilities and evaluate peer submissions.
  • Proven experience across medical or surgical specialties (e.g., Internal Medicine, Emergency Medicine, General Surgery, Diagnostic Radiology, Cardiology, Critical Care, or other subspecialties).
  • Nursing professionals, nurse practitioners, and physician assistants with relevant clinical experience may also be considered.
  • Fluency or high proficiency in English.

Apply now to join a global network of medical experts shaping the future of clinical AI!

Posted 2025-11-27

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