Remote AI Radiology Trainer - Shape Next-Gen Medical Imaging

DataAnnotation; Quincy (MA); Remote; USD 100,000 - 260,000; Full time

Benefits offered by this job

Flexible, remote work

Project-based engagements

Competitive compensation up to $125+/h

Job summary

DataAnnotation is seeking an experienced Radiologist or imaging technologist to help train AI models by reviewing de-identified studies, writing structured reports, and providing clear impressions and recommendations. You will compare interpretations, log discrepancies, and highlight gaps in model-generated reports to improve imaging AI.

The role supports chest X-rays, ultrasound, CT, MRI, and nuclear medicine, and is remote and project-based with global reach and competitive compensation.

Qualifications

• Fluency in English with excellent writing skills.
• Residency-trained or board-certified radiologist or credentialed imaging technologist.
• Hands-on experience reading and interpreting studies.

Responsibilities

• Review de-identified studies (chest X-rays, ultrasounds, nuclear medicine scans) with clinical context.
• Write comprehensive, structured reports documenting findings and impressions.
• Provide clear impressions and recommendations for follow-up or workup.
• Compare two independent interpretations, resolve differences, and log discrepancies.
• Identify gaps and errors in model-generated reports.

Skills

English fluency

Medical report writing

Radiology interpretation

Detail-oriented

Clear communication

Education

Residency-trained radiologist

Board-certified radiologist

Imaging technologist credential

Tools

PACS

DICOM

Job description

DataAnnotation is seeking an experienced Radiologist or imaging technologist to help train AI models by reviewing de-identified studies, writing structured reports, and providing clear impressions and recommendations. You will compare interpretations, log discrepancies, and highlight gaps in model-generated reports to improve imaging AI.

The role supports chest X-rays, ultrasound, CT, MRI, and nuclear medicine, and is remote and project-based with global reach and competitive compensation.