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DataAnnotation is seeking an experienced Radiologist or imaging professional to help train AI models by reviewing chest X-rays, ultrasounds, and nuclear medicine scans. You will produce structured reports and impressions to guide model development, with emphasis on documenting rationale and discrepancies.
The role supports remote work and involves evaluating multiple imaging modalities, including CT and MRI, across neuro, body, and emergency subspecialties. US-based applicants are eligible.
We’re looking for an experienced Radiologist to help train AI models. You’ll measure how well frontier models interpret medical images, check their reasoning, and help raise the quality of each new version.
This is a new and growing area: teaching AI to read diagnostic images, such as chest X-rays, ultrasounds, and nuclear medicine scans, the way a skilled radiologist would. The role is open to both radiologists and imaging technologists. Your reads, impressions, and written rationale become the signal that shapes the next generation of imaging AI.
Problems draw on whatever you know best:
Common backgrounds: Radiologist, Ultrasound Technologist, Nuclear Medicine Technologist.
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.