Radiologist & AI Trainer: Shape Modern Medical Imaging

DataAnnotation

Edina (MN)

Remote

USD 172,000 - 276,000

Full time

4 days ago
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Job summary

DataAnnotation is seeking an experienced Radiologist or imaging professional to help train AI models by reading diagnostic images and generating structured, defendable reports. You will review studies, document findings, provide impressions with recommended next steps, and compare independent interpretations to identify gaps in model outputs.

This remote, project-based role offers flexible engagement. Qualified candidates include residency-trained radiologists or licensed imaging technologists,

Qualifications

  • Residency-trained or board-certified radiologist, or credentialed/licensed imaging technologist.
  • Hands-on experience performing or interpreting studies.
  • Clear, well-organized writing, and the ability to say why a report is wrong, not only that it is.
  • Detail-oriented.
  • Applicants from Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States only.

Responsibilities

  • Review de-identified studies (chest X-rays, ultrasounds, nuclear medicine scans) with clinical context.
  • Write comprehensive, structured reports documenting every finding, including subtle and incidental ones.
  • Provide clear impressions and recommend next steps (e.g., follow-up scans).
  • Compare two independent interpretations of the same study and log discrepancies.
  • Identify model-generated reports gaps, misstatements, or omissions.

Skills

Fluency in English
Writing ability
Attention to detail
Experience interpreting studies

Education

Residency-trained or board-certified radiologist
Credentialed/licensed imaging technologist

Job description

DataAnnotation is seeking an experienced Radiologist or imaging professional to help train AI models by reading diagnostic images and generating structured, defendable reports. You will review studies, document findings, provide impressions with recommended next steps, and compare independent interpretations to identify gaps in model outputs.

This remote, project-based role offers flexible engagement. Qualified candidates include residency-trained radiologists or licensed imaging technologists,

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