Radiologist - Chest CT Annotation - AI Project (USA)

Aptura; United States; Remote; USD 83,000 - 124,000; Part time

Benefits offered by this job

Flexible scheduling

Remote work

Weekly pay

Job summary

AI Trainer Jobs seeks a radiologist with a chest/thoracic background to perform structured annotations on de-identified chest CT scans. You will mark points, boxes, and measurements on findings, following strict annotation guidelines to ensure spatial accuracy.

This is a remote, flexible, short-term project with asynchronous work on a dedicated platform. Ideal candidates have 3–10 years in radiology, a license, and native or near-native English, enabling precise, rule-based annotations while

Qualifications

• Must be a registered radiologist with an active license.
• 3–10 years of radiology experience with a chest/thoracic focus.
• Strong grounding in thoracic anatomy and cross-sectional CT.
• Proven accuracy and consistency in image review or measurement work.

Responsibilities

• Mark coordinates on scans, such as the centre of a nodule.
• Draw bounding boxes around regions of interest.
• Record measurements on segmentations or polygons already drawn.
• Apply annotation guidelines consistently across studies.
• Flag ambiguous cases with a brief rationale for guidelines refinement.

Skills

Attention to detail

English proficiency

Technical annotation tools

Image review accuracy

Education

Active radiologist license

3–10 years radiology experience

Tools

Annotation platform

Digital imaging viewers

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.