Remote Radiologist AI Trainer: Shape Next-Gen Imaging

DataAnnotation; Atlanta (GA); Remote; USD 103,000 - 172,000; Full time

Benefits offered by this job

Flexible remote project work

Project-based workload

Job summary

DataAnnotation is seeking an experienced Radiologist/Imaging professional to help train AI models by reviewing de-identified studies such as chest X-rays, ultrasounds, and nuclear medicine scans. You will write structured reports, provide clear impressions, and determine next steps to improve model outputs.

The role is open to radiologists and imaging technologists with hands-on interpretation experience, emphasizing precise, well-argued reasoning and detailed documentation.

Qualifications

• Fluency in English (native or bilingual level).
• A residency-trained or board-certified radiologist, or a credentialed or licensed imaging technologist (radiologic, ultrasound, or nuclear medicine).
• 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.

Responsibilities

• Review de-identified studies (chest X‑rays, ultrasounds, nuclear medicine scans) alongside their clinical context.
• Write comprehensive, structured reports that document every finding, including subtle and incidental ones.
• Give clear impressions and recommend next steps, such as follow-up scans or further workup.
• Compare two independent interpretations of the same study, resolve the differences, and log each discrepancy.
• Pinpoint what model-generated reports miss, misstate, or leave incomplete.

Skills

Radiologist

Imaging technologist

Fluent English

Clear writing

Detail-oriented

Education

Residency-trained or board-certified radiologist

Job description

DataAnnotation is seeking an experienced Radiologist/Imaging professional to help train AI models by reviewing de-identified studies such as chest X-rays, ultrasounds, and nuclear medicine scans. You will write structured reports, provide clear impressions, and determine next steps to improve model outputs.

The role is open to radiologists and imaging technologists with hands-on interpretation experience, emphasizing precise, well-argued reasoning and detailed documentation.