Radiology Expert
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 1h 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 17h ago
The date the source published, not the day we noticed it (2026-09-16). Last seen at its source 1h 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
$300–400/hr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 1h ago · last seen 1h ago
The listing
This role is for one of our clients
Compensation: $300 - $400 per hour
We're working with a leading AI research lab to build rigorous evaluations of how well AI reads real radiology studies, and we need practicing radiologists to define what "correct" actually looks like. AI can describe an image fluently; whether it gets the clinically load-bearing call right — the measurement by the correct convention, the interval change against a prior, the structured category in a borderline case — is where expert judgment is scarce and where you come in.
This is not image labeling. It's the reasoning you already do every day, captured as a reference standard that trains and tests frontier models.
Requirements
What you'd do
- Read de-identified studies (CT, MR, radiography, ultrasound, PET/CT, mammography, and more) and write the reference report or the specific finding.
- Apply the structured systems and measurement conventions you use in practice (RECIST, Lung-RADS, BI-RADS, CAD-RADS, ASPECTS, and others)
- Review AI-drafted reads and mark what's inaccurate, unsupported, or unsafe.
- Contribute the kinds of cases that stump a strong model.
Who we're looking for
- Board-certified or board-eligible radiologists (ABR, FRCR, EDiR, or international equivalent). Residents and fellows in later training may be considered.
- Any diagnostic sub-specialty: neuro, chest, abdominal, MSK, breast, cardiac, nuclear medicine, paediatric, and others.
- Currently reading studies, or recently in active practice.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.