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DataAnnotation is seeking an experienced Radiologist/Imaging professional to help train AI models by reviewing de-identified studies such as chest X-rays, ultrasounds, and nuclear medicine scans. You will write structured reports, provide clear impressions, and determine next steps to improve model outputs.
The role is open to radiologists and imaging technologists with hands-on interpretation experience, emphasizing precise, well-argued reasoning and detailed documentation.
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 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project‑available.