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GenMD is seeking medical experts to review real-world clinical cases and label them for AI benchmarking. You will apply clinical judgment to assess model outputs and help improve labeling guidelines.
This fully remote, part-time opportunity offers flexible hours (a few hours per week) and compensation of $100–$175 per hour, depending on credential and specialty. All work is conducted on de-identified data to protect patient privacy.
GenMD is a Stanford spin-off building AI and data infrastructure for healthcare. We grew out of years of work inside Stanford Medicine, alongside world-class researchers and clinicians, and we now work with health systems and data partners on large longitudinal datasets: claims, health records, imaging and clinical notes. We make that data usable for researchers and frontier AI, while patient privacy stays protected.
We're just coming out of stealth, already revenue-generating and well funded. We're intentionally small, move fast, and are focused on building something fundamental. Our CEO is a former Associate Director of AI at Stanford Medicine. See how we work: https://genmd.ai/careers
We're building clinical benchmarks and training data that teach AI models to reason like clinicians. We need practicing and recently practicing medical experts to review real-world clinical cases, label them and judge model outputs. Your clinical judgment directly shapes how frontier AI models are measured and improved.
$100 – $175 per hour, depending on credential and specialty.