AI Radiology Trainer: Nuclear Medicine & Imaging - Remote

DataAnnotation; Vaughan; Remote; CAD 103,000 - 172,000; Full time

Benefits offered by this job

Flexible, remote work

Always project-available

Job summary

DataAnnotation is seeking an experienced Radiologist or qualified imaging technologist to help train AI models by reviewing de-identified imaging studies, and writing structured reports with clear impressions and recommended next steps. This remote, project-based role supports cross-sectional imaging and subspecialty reads, including CT/MRI, chest radiography, ultrasound, and nuclear medicine.

You will compare independent interpretations, log discrepancies, and pinpoint where model-generated

Qualifications

• Fluency in English (native or bilingual).
• Residency-trained or board-certified radiologist or licensed imaging technologist.
• Hands-on experience reading imaging studies.
• Ability to articulate why a report is correct or incorrect clearly.

Responsibilities

• Review de-identified studies (chest X-ray, ultrasound, nuclear medicine) with clinical context.
• Write comprehensive, structured reports documenting findings, including incidental ones.
• Provide clear impressions and recommend next steps (e.g., follow-up scans).
• Compare two independent interpretations and log any discrepancies.
• Pinpoint gaps in model-generated reports and improve future outputs.

Skills

English fluency

Clear writing

Attention to detail

Experience interpreting imaging

Education

Residency-trained or board-certified radiologist

Credentialed/licensed imaging technologist

Tools

CT

MRI

Ultrasound

Nuclear medicine

Job description

DataAnnotation is seeking an experienced Radiologist or qualified imaging technologist to help train AI models by reviewing de-identified imaging studies, and writing structured reports with clear impressions and recommended next steps. This remote, project-based role supports cross-sectional imaging and subspecialty reads, including CT/MRI, chest radiography, ultrasound, and nuclear medicine.

You will compare independent interpretations, log discrepancies, and pinpoint where model-generated