Remote AI Imaging Trainer – Nuclear Med & Radiology

DataAnnotation

Airdrie

Teletrabalho

CAD 100 000 - 200 000

Tempo integral

há 7 horas
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Resumo da oferta

DataAnnotation is seeking an experienced radiologist or credentialed imaging technologist to help train AI models by reading and reporting medical images. You will review de-identified studies, write structured impressions, and help identify gaps in model-generated reports.

The role is flexible and remote, open to candidates in multiple countries including Canada. Compensation includes hourly rates up to $125+ and annual earnings often ranging from $100k–$200k, depending on task complexity and

Qualificações

  • Fluency in English (native or bilingual).
  • Residency-trained or board-certified radiologist, or credentialed/licensed imaging technologist.
  • Hands-on experience performing or interpreting imaging studies.
  • Clear, well-organized writing and ability to justify a report.

Responsabilidades

  • Review de-identified studies (chest X-rays, ultrasounds, nuclear medicine) with clinical context.
  • Write comprehensive, structured reports documenting findings, including incidental ones.
  • Give clear impressions and recommend next steps.
  • Compare two independent interpretations and log discrepancies.
  • Identify gaps in model-generated reports and explain what is missed.

Conhecimentos

English fluency
Clear writing
Attention to detail
Critical reporting

Formação académica

Board-certified radiologist
Credentialed imaging technologist

Descrição da oferta de emprego

DataAnnotation is seeking an experienced radiologist or credentialed imaging technologist to help train AI models by reading and reporting medical images. You will review de-identified studies, write structured impressions, and help identify gaps in model-generated reports.

The role is flexible and remote, open to candidates in multiple countries including Canada. Compensation includes hourly rates up to $125+ and annual earnings often ranging from $100k–$200k, depending on task complexity and

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