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Medical Experts

Quality Talent Group - Perris, CA

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Job Description

Medical 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!

Created: 2025-12-01

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