Radiology Residents: Medical Image Evaluation for AI Benchmarks

What We're Researching:

We're running a paid study on clinical image interpretation to build robust performance benchmarks. This work directly supports the development of more accurate diagnostic evaluation tools by establishing reliable scoring rubrics. Your clinical expertise will ensure the reference standards reflect realistic medical assessments.

How It Works:

During this remote study, you will review a series of de-identified medical images and clinical cases on your desktop. You will be asked to provide your expert read on each case using a structured scoring rubric. The workflow involves examining the provided imaging data and recording your diagnostic evaluations asynchronously. Your detailed assessments will serve as the reference evaluations for our ongoing benchmarking efforts.

Who This Is For:

We are looking for current radiology residents who have hands-on experience interpreting diagnostic imaging. We welcome residents across all training years and sub-specialty rotations, including diagnostic radiology, interventional radiology, and neuroradiology tracks. Candidates must be comfortable applying structured evaluation frameworks to diverse clinical presentations.

What You'll Do:

• Review and analyze de-identified medical images
• Provide expert diagnostic reads for complex clinical cases
• Complete structured scoring rubrics for each evaluation
• Establish reference evaluations for diagnostic benchmarks

Who Should Apply:

• Currently enrolled in a radiology residency program
• Active clinical experience interpreting medical imaging
• Comfortable working with structured diagnostic scoring systems
• Capable of performing independent, detail-oriented case reviews

Compensation:

$90 per task

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.