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Terac is recruiting licensed radiologists to participate in a remote study evaluating diagnostic imaging algorithms. Review de-identified images, provide expert reads, and complete a structured scoring rubric.
Your assessments will establish ground truth for benchmarking AI tools. The role requires active practice and extensive experience with complex cases, with rubric-based evaluation emphasized throughout.
We're running a paid study on the accuracy and reliability of diagnostic imaging algorithms. High-quality reference evaluations are essential for establishing safe and effective medical benchmarks. Your clinical expertise will directly inform the baseline ground truth used to evaluate these emerging tools.
You will review a series of de-identified medical images and associated clinical cases through a secure remote platform. For each case, you will provide an expert read and complete a structured scoring rubric. The workflow involves assessing specific diagnostic criteria and highlighting key anatomical or pathological findings. All tasks are completed asynchronously, allowing you to evaluate the cases at your own pace.
We are looking for licensed and practicing radiologists with strong clinical diagnostic experience. We welcome general radiologists, neuroradiologists, musculoskeletal radiologists, and other imaging subspecialists. Candidates must be comfortable applying standardized rubrics to complex diagnostic cases.
$210 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.