Medical Expert Consultant, Clinical Data Labeling
About GenMD
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
About the role
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.
What you'll do
Review de-identified patient records, clinical notes and model responses, and label them against clear guidelines.
Write and refine grading rubrics and reference answers for clinical reasoning tasks.
Grade AI model outputs for accuracy, safety and clinical usefulness, and explain where and why a model went wrong.
Flag ambiguous cases and help improve labeling guidelines with the GenMD team.
What we're looking for
MD, DO, NP, PA, PharmD, RN or equivalent clinical credential, with direct patient-care experience.
Specialty experience is welcome (e.g. internal medicine, emergency medicine, radiology, oncology, primary care).
Careful, consistent and comfortable writing clear explanations.
Reliable availability of a few hours per week; fully remote.
Compensation
$100 – $175 per hour, depending on credential and specialty.