Public Defenders — Paid Research Study
Remote: USA
United States
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.
- 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.
Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.
