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Review and analyze de-identified medical images to provide expert diagnostic reads for complex clinical cases. Complete structured scoring rubrics to establish reference evaluations for AI diagnostic benchmarks.
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.
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.
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.
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
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
$90 per task
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 terac.com or on YouTube at @jointerac.
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