Radiologist - Chest CT Annotation - AI Project (USA)

We are seeking radiologists with a chest/thoracic background to carry out structural annotation on de-identified chest CT scans, with a focus on spatial accuracy and consistency against detailed annotation guidelines.

You will work asynchronously on a dedicated annotation platform, marking points, boxes and measurements on findings that have already been flagged upstream, to support the development of clinical AI imaging models.

This is a remote, flexible and short-term project.

Key Responsibilities:

• Click-point placement: Mark specific coordinates on a scan, such as the centre of a nodule.

• Bounding boxes: Draw boxes around defined regions of interest, such as a flagged lesion.

• Simple measurements: Record diameter, or distance between two marked points, on segmentations or polygons already drawn.

• Guideline application: Work to an annotation guideline covering placement conventions, boundary definitions and measurement rules, applied consistently across a large volume of studies.

• Edge case handling: Flag ambiguous cases with a short rationale so guidance can be refined.

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