This part-time contract asks physicians to review clinical cases, patient data, and AI-generated medical content, giving expert feedback that helps train AI systems supporting medical decisions. It is aimed at practicing doctors, especially those from general specialties such as internal medicine, family practice, or emergency medicine. No prior AI experience is needed, since clinical knowledge is the main requirement.
Pay not disclosed
The platform does not publish the pay for this job.
Open to residents of: Bangladesh, Hong Kong SAR China, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestinian Territories, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia.
You apply on micro1: create an account, complete a screening interview with its AI interviewer, then join its vetted expert network to be matched to projects.
Official posting: https://jobs.micro1.ai/post/422d20e5-6f6e-4644-9a9b-53b32b3c1a50
Last checked on October 8, 2026.
This role asks practicing physicians to judge how well health AI models handle diagnoses, clinical reasoning and care plans. The work is part-time and asynchronous, aimed at MDs and DOs who currently see patients in primary care, internal medicine or hospital-based specialties.
Posted October 8, 2026
Board-certified emergency medicine physician sought to evaluate and annotate clinical documentation generated by medical AI tools. The role involves reviewing patient records, validating the accuracy of emergency summaries produced by AI, and flagging errors or omissions to help engineering teams improve these systems. Profile: practicing emergency physician with at least 2 to 3 years of experience.
Posted October 1, 2026
This project-based role involves reviewing pre-generated health scenarios used to train AI health assistants. Reviewers rate how realistic each scenario is and how much safety risk it carries, then strengthen weak or missing constraints. It is aimed at generalist doctors and experienced nurses with strong patient-facing experience who can tell authentic care-seeking situations from generic ones.
Posted February 5, 2026
This remote, hourly contract asks you to review and grade AI-generated content about healthcare data, electronic health record systems, and clinical workflows. The work helps AI labs make their models more accurate on medical information. It suits health informatics professionals who can judge clinical and technical accuracy and explain their feedback in writing.
This remote contract role asks medical science professionals to review and validate AI-generated biomedical content for accuracy, clarity, and context. It suits people with a background in medical affairs, clinical research, or scientific communication who want to shape how AI handles medical information.
This role asks radiologists and imaging technologists to read de-identified scans and judge how accurately frontier AI models interpret them. Contributors write structured reports and impressions, then compare them with model output to find errors and gaps. It suits clinicians with hands-on imaging experience who can explain why a machine-generated report is wrong.
