Radiology Expert

Weekday 1; United States; On-site; USD 413,000 - 551,000; Full time

Job summary

Weekday 1 collaborates with a leading AI research lab to develop rigorous evaluations of how radiology reads real studies. We seek practicing radiologists to define what “correct” looks like in measurement conventions and structured reporting, not image labeling.

You will read de-identified studies across modalities, apply RECIST, BI-RADS, and other schemes, review AI-drafted reads, and help create reference standards that train frontier models. Expertise welcomed across subspecialties.

Qualifications

• Board-certified radiologists or eligible.
• Sub-specialty versatility across neuro, chest, abdominal, MSK, breast, cardiac, nuclear medicine, paediatric.

Responsibilities

• Read de-identified studies and write the reference report or specific finding.
• Apply structured systems and measurement conventions (RECIST, Lung-RADS, BI-RADS, CAD-RADS, ASPECTS, and others).
• Review AI-drafted reads and mark inaccuracies, unsupported, or unsafe.
• Contribute cases that stump a strong model.

Skills

Structured reporting

Education

ABR

FRCR

EDiR

International equivalent

Job description

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.

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.