Radiologist for AI Imaging Evaluation & Reference Reports

Mercor

New York (NY)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Mercor is hiring board-certified Radiologists for non-clinical work developing and evaluating clinical AI systems in medical imaging. You will apply your diagnostic expertise to annotation, reference-report authoring, and evaluation work that sets the standard these systems are measured against.

This is a shared expert pool. After onboarding you may be matched to any of several concurrent imaging workstreams based on your subspecialty, availability, and interest.

Qualifications

  • MD/DO with completed radiology residency.
  • Board certification by ABR or equivalent, or board-eligible after residency.
  • Active, unrestricted medical license in your country of practice.
  • 2+ years post-residency reading independently.
  • Record of high-volume independent reads.
  • Precise command of structured reporting standards (BI-RADS, LI-RADS, Lung-RADS, TI-RADS, etc.).
  • Written and spoken English fluency.
  • Minimum 15 hours per week, with concentrated hours when a stream is time-boxed.

Responsibilities

  • Case interpretation with written reasoning, detailing diagnostic steps and rationale.
  • Structured finding labelling across imaging studies using defined schemas.
  • Reference report authoring to establish ground truth for AI evaluation.
  • Output review: assessing AI reads against clinical standards and flagging issues.
  • Grading criteria and guideline authoring to standardize assessments at scale.
  • Difficult-case writing to test model reasoning.

Skills

English fluency
High-volume reads
Structured reporting

Education

MD/DO with radiology residency

Job description

Mercor is hiring board-certified Radiologists for non-clinical work developing and evaluating clinical AI systems in medical imaging. You will apply your diagnostic expertise to annotation, reference-report authoring, and evaluation work that sets the standard these systems are measured against.

This is a shared expert pool. After onboarding you may be matched to any of several concurrent imaging workstreams based on your subspecialty, availability, and interest.

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