Radiologist - Chest CT Annotation - AI Project (India)

Job description

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 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 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.