Radiologist - Structural Annotation Specialist (Chest/Thoracic CT)

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.

This is a structural markup project with no interpretation required. You will not be reading scans for diagnosis, judging malignancy, or making clinical decisions.

Qualifications:

• Registration: Registered radiologist in your country of practice with an active license

• Experience: 3–10 years’ experience in radiology, with a chest/thoracic focus

• Knowledge: Strong grounding in thoracic anatomy and cross-sectional CT.

• Attention to detail: Proven accuracy and consistency in image review or measurement work.

• Technical proficiency: Comfortable using structured annotation tools and digital platforms.

• Prior imaging annotation experience is an advantage but not required.

• Language: Native or near-native written English.

Legal Status:

• You will have the right to work in your country of residence.

• You will work as an independent contractor.

Why Join Us?

• Flexible Work Arrangements: Part-time, remote, and fully asynchronous.

• Competitive Compensation: Hourly rate, paid weekly.

• Professional Development: Hands-on experience in clinical AI development and medical imaging, shaping how AI systems localise and measure findings on CT.