Hospitalists and Family Medicine Physicians: AI Diagnosis Review

Terac · via Himalayas ·

Budget / Salary$200–200
TypeContract
LocationUnited States
Posted3 hours ago
What We're Researching
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.
How It Works
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.
Who This Is For
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.
What You'll Do

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 relevance

Dedicate a minimum of five hours to complete the case reviews

Who Should Apply

Active medical license in the US

Practicing hospitalist or family medicine physician

Strong background in generating differential diagnoses

Available to complete remote chart reviews between September 24 and 27

Compensation
$200 per hour
Ready to participate?
Start your paid interview now
About Terac

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at or on YouTube at @jointerac.
Originally posted on Himalayas
ai-clinical-reviewer clinical-ai-reviewer ai-medical-evaluation medical-ai-evaluation
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