Radiologist - Chest CT Annotation - AI Project (USA)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 24d ago
The date the source published, not the day we noticed it (2026-09-16). Last seen at its source 2h ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $102.8k–130k/yr
Middle 50% of 1116 listings that do state pay — Healthcare · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Carried by 1 source
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Ashby employer's own board first seen 5d ago · last seen 2h ago
The listing
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.