Job Description
Job DescriptionMedical Experts - AI Training Role
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!