Remote radiology annotation for radiologists
AI teams building detection, triage and segmentation models need labels from people who read studies every day. Annotate CT, MRI, X-ray and ultrasound remotely, in your own hours, at the hourly rate you set.
What radiology annotation involves
CT and MRI segmentation
Contour organs, tumours and lesions slice by slice, and correct model-generated masks on volumetric studies.
Chest X-ray labeling
Draw bounding boxes around nodules, effusions and pneumothorax, and grade findings on frontal and lateral radiographs.
Ultrasound review
Label views, measure structures and mark findings on abdominal, obstetric and vascular ultrasound clips.
Report and model review
Check AI outputs against the images, flag errors and adjudicate cases where two readers disagree.
Typical tools: 3D Slicer, ITK-SNAP, CVAT, OHIF Viewer, MONAI Label.
Who we look for
- Board-certified radiologists
- Radiology residents
- Radiographers and imaging technologists
- Nuclear medicine and interventional specialists
See what AI teams are asking for
Radiology annotation questions
Can I do radiology annotation remotely?
Yes. Studies are de-identified and opened in secure, browser-based tools, so you annotate from anywhere and no data lands on your device.
Do radiology residents qualify?
Yes. Many projects need residents for first-pass labeling, with specialists reviewing and adjudicating. Tell us your year of training when you apply.
Which annotation tools will I use?
It depends on the project. Common tools are 3D Slicer, ITK-SNAP, CVAT, OHIF and MONAI Label. Prior experience helps but is not required.
How is radiology annotation paid?
You set your own hourly rate when you register. Each project comes with its scope, case volume and budget before you accept.
More answers on the medical annotation jobs overview.
Put your radiology expertise to work on medical AI
Applying takes a few minutes. No commitment until you accept a project.