Terac is an AI‑native research platform that sources participants, conducts human‑like interviews at scale, analyzes results, and pays out participants - delivering actionable insights in hours, not weeks. Backed by Emergence Capital.
About the role
Evaluate AI-proposed diagnoses for accuracy and clinical relevance Dedicate a minimum of five hours to complete the case reviews
More about this role
We're hiring hospitalists and family medicine physicians to help us evaluate the accuracy of clinical AI tools. This research feeds directly into improving how algorithms suggest diagnoses based on patient charts. Your medical expertise will help determine where AI models succeed and where they fall short in real-world clinical scenarios.
You will review a series of de-identified patient records through our remote platform. For each case, you will form your own clinical diagnosis based on the provided chart. Next, you will review diagnoses proposed by an AI model and state whether you agree or disagree with its conclusions. The project requires a commitment of at least five hours to complete the assigned reviews.
This opportunity is for active physicians who are comfortable reviewing general medical cases. We welcome licensed hospitalists, family medicine physicians, and general internal medicine practitioners. You should have strong experience in chart review and differential diagnosis generation.
Review de-identified patient charts and medical records
Generate your own clinical diagnosis for each assigned case
Evaluate AI-proposed diagnoses for accuracy and clinical...
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