Radiologist - Chest CT Annotation - AI Project

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.

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

• Registration:
  Registered radiologist in your country of practice with 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.

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

• You will work as an independent contractor.

• 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.