Radiology Expert - Clinical Evaluator

Mercor; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

Mercor is seeking practicing radiologists to define what constitutes a correct interpretation for AI-generated reads of radiology studies. You will provide reference standards using established measurement conventions and contribute to robust model evaluation.

Ideal candidates are board-certified radiologists currently reading studies with expertise across sub-specialties and willingness to review AI outputs for accuracy and safety.

Qualifications

• Board-certified radiologist with ABR/FRCR/EDiR or international equivalent.
• Currently reading studies or recently in active practice.
• Familiar with standard measurement conventions used in practice such as RECIST, BI-RADS, ASPECTS.

Responsibilities

• Read de-identified studies and write the reference report or specific finding.
• Apply structured measurement conventions you use in practice (RECIST, Lung-RADS, BI-RADS, CAD-RADS, ASPECTS, and others).
• Review AI-drafted reads and mark inaccuracies, unsupported conclusions, or unsafe interpretations.

Skills

Board-certified radiologist

Active practice

Sub-specialties awareness

Education

Board-certified radiologist (ABR/FRCR/EDiR) or international equivalent

Tools

RECIST

BI-RADS

ASPECTS

Job description

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.