Overview
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.
What you’ll actually do
- Review de-identified studies (chest X-rays, ultrasounds, nuclear medicine scans) alongside their clinical context.
- Write comprehensive, structured reports that document every finding, including subtle and incidental ones.
- Give clear impressions and recommend next steps, such as follow-up scans or further workup.
- Compare two independent interpretations of the same study, resolve the differences, and log each discrepancy.
- Pinpoint what model-generated reports miss, misstate, or leave incomplete.
Problems draw on whatever you know best
- Radiography: chest and musculoskeletal plain film.
- Ultrasound and sonography.
- Nuclear medicine and molecular imaging.
- Cross-sectional imaging: CT and MRI.
- Subspecialty reads: neuro, body, cardiothoracic, and emergency.