We partner with healthcare innovators to train frontier AI models. Our community is building the future of healthcare - safer, less biased, and more accessible to everyone.
4th yr MD Candidate, UNC Chapel Hill, D1 Football, BS in Biomedical Engineering
7th yr MD/PhD Candidate, Pharmacology and Regenerative Medicine - University of Illinois at Chicago
2nd Year MD Candidate at Icahn School of Medicine at Mount Sinai. MPH from Northeastern University.
Internal Medicine Hospitalist at Redlands Community Hospital and San Gorgonio Memorial Hospital
Andrew specializes in Anesthesiology Critical Care Medicine & Emergency Medicine
Earn $15-$200+ /hr per project and work online from anywhere
Shape the future of healthcare AI models using your domain knowledge
Collaborate with other experts and gain AI fundamentals certification
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Contribute your expertise to train frontier AI models in healthcare. Match with paid, remote opportunities that align with your skills, interests and schedule.
Generate preference pairs that reflect real clinical reasoning. Our experts evaluate response quality based on clinical accuracy, safety, and adherence to standard of care in real care settings—not just fluency.
Transform complex clinical protocols into structured evaluation criteria your models can learn from. We convert unstructured clinical knowledge into measurable verification tasks.
Models fail in surprisingly human ways: a triage suggestion that downplays red‑flag symptoms, or a draft note that quietly invents an allergy. We work with med students, nurses, residents, and other clinicians‑in‑training to probe for these failure modes, map them into patterns, and give your teams concrete targets for hardening guardrails before they touch patients or staff.
Modern clinical data spans formats: progress notes reference imaging findings, waveforms explain treatment changes, pathology images inform diagnoses. We annotate text, images, audio, and signals together—the way clinicians actually integrate information.
