Internal Medicine AI Evaluation Specialist

This role is for one of our clients Compensation: $130-$180 per hour Join a leading AI research initiative focused on advancing healthcare-focused artificial intelligence. We are seeking experienced Internal Medicine physicians to contribute their clinical expertise toward training and evaluating next-generation AI models capable of sophisticated medical reasoning. In this role, you will develop realistic clinical scenarios, evaluate AI-generated responses against evidence-based standards, and help improve how AI systems reason about diagnosis, treatment planning, and patient management within Internal Medicine. We welcome Internal Medicine attending physicians, hospitalists, fellows, final-year residents, and other qualified Internal Medicine professionals who are passionate about applying their expertise to the future of healthcare AI. Key ResponsibilitiesDesign Clinical Scenarios Create realistic Internal Medicine case studies based on everyday clinical practice. Develop prompts covering: Diagnostic reasoning Differential diagnosis Treatment planning Risk stratification Evidence-based guideline adherence Long-term patient management Create Reference-Quality Responses Produce attending physician-level reference solutions that reflect current clinical best practices. Ensure recommendations align with established evidence-based guidelines. Evaluate AI Performance Review and assess AI-generated clinical responses using structured evaluation frameworks. Identify reasoning gaps, inaccuracies, omissions, and opportunities for improvement. Provide detailed written feedback to improve AI model performance and clinical reliability. Collaborate with Clinical Teams Participate in onboarding sessions and specialty calibration meetings. Work with multidisciplinary teams to ensure consistency, accuracy, and quality across medical evaluations. Required Qualifications Applicants should meet one of the following criteria: Attending Physicians Board-certified in Internal Medicine. Current, active, and unrestricted medical license. Resident Physicians Final-year Internal Medicine resident. Recent residency graduates must be board-eligible. Fellows Board-certified or board-eligible in Internal Medicine or a related subspecialty. Current, active, and unrestricted medical license. Professionals with expertise in Internal Medicine subspecialties are encouraged to apply, including: Cardiology Hematology & Oncology Endocrinology Nephrology Gastroenterology Pulmonology Other Internal Medicine subspecialties Preferred Qualifications Strong knowledge of evidence-based medicine and clinical practice guidelines. Experience in clinical teaching, medical research, or quality improvement initiatives. Excellent written communication and analytical skills. Interest in artificial intelligence, clinical decision support, or healthcare technology. Engagement Details Fully remote with 100% asynchronous work. Standard commitment of approximately 20 hours per week, with opportunities for additional hours based on project demand. Flexible working schedule. Weekly payments. Rolling onboarding with ongoing engagement opportunities. Compensation is determined by clinical experience, expertise, and seniority. Why Join Help shape the future of AI-powered clinical decision-making. Apply your Internal Medicine expertise to improve advanced healthcare AI systems. Collaborate with leading AI researchers and experienced clinicians. Contribute to high-impact projects that advance safe, accurate, and evidence-based medical AI. Equal Opportunity Statement All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request. Contract Information Independent contractor engagement. Fully remote work completed on your own schedule. Projects may be extended, modified, or concluded based on business needs and individual performance. Work does not involve access to confidential or proprietary information from any employer, client, or institution. Weekly payments are processed through supported payment platforms based on approved work completed. Please note that visa sponsorship is not available for this opportunity.