Radiologist for AI Reference Standards & Evaluation

Mercor; Houston (TX); On-site; USD 90,000 - 140,000; Full time

Job summary

Mercor is seeking practicing radiologists to define what “correct” looks like in AI-evaluated radiology reads across CT, MRI, and ultrasound studies. You will craft reference reports and apply established measurement conventions such as BI-RADS, Lung-RADS, and RECIST.

Applicants should be board-certified or board-eligible radiologists currently reading studies, with experience across multiple subspecialties and willing to review AI-drafted reads for accuracy and safety.

Qualifications

• Board-certified radiologists or board-eligible candidates with active practice.
• Experience reading de-identified imaging studies across modalities (CT/MRI/US/PET-CT).
• Familiarity with structured reporting systems (BI-RADS, Lung-RADS, RECIST, CAD-RADS, ASPECTS).
• Ability to review AI-generated reads and identify inaccuracies or unsafe conclusions.

Responsibilities

• Read de-identified studies and write reference reports or specific findings.
• Apply standard measurement conventions and structured systems in practice.
• Review AI-drafted reads and flag inaccuracies, unsupported conclusions, or safety concerns.
• Contribute challenging cases to improve model performance.

Skills

Reading radiology studies

Structured reporting

AI model evaluation

Critical thinking

Education

Board-certified radiologist

Board-eligible radiologist

Job description

Mercor is seeking practicing radiologists to define what “correct” looks like in AI-evaluated radiology reads across CT, MRI, and ultrasound studies. You will craft reference reports and apply established measurement conventions such as BI-RADS, Lung-RADS, and RECIST.

Applicants should be board-certified or board-eligible radiologists currently reading studies, with experience across multiple subspecialties and willing to review AI-drafted reads for accuracy and safety.