Radiology Fellow - AI Trainer

DataAnnotation; Arlington (VA); A distancia; USD 138.000 - 172.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible, remote projects

Project-based work

Descripción de la vacante

DataAnnotation is seeking an experienced Radiologist to help train AI models by reading and interpreting medical images such as chest X-rays, ultrasounds, and nuclear medicine scans. You will generate reads, impressions, and structured rationales to guide model improvements, in a remote, project-based role.

The role can be filled by radiologists or imaging technologists. You will review studies with clinical context, write comprehensive reports, and highlight gaps in model-generated outputs.

Formación

• Fluency in English at native or bilingual level.
• Residency-trained or board-certified radiologist, or licensed imaging technologist.
• Hands-on experience reading or interpreting studies.
• Able to articulate reasoning in structured reports.
• Detail-oriented and precise documentation.

Responsabilidades

• Review de-identified studies (chest X-rays, ultrasounds, nuclear medicine) with clinical context.
• Write comprehensive structured reports documenting all findings.
• Provide clear impressions and recommended next steps.
• Compare independent interpretations; log discrepancies.
• Identify missing or mis-stated elements in model-generated reports.

Conocimientos

Fluency in English

Hands-on imaging experience

Clear written communication

Detail-oriented

Educación

Residency-trained radiologist

Board-certified radiologist

Credentialed imaging technologist

Descripción del empleo

We’re looking for an experienced Radiologist to help train AI models. You’ll measure how well frontier models interpret medical images, check their reasoning, and help raise the quality of each new version.

This is a new and growing area: teaching AI to read diagnostic images, such as chest X-rays, ultrasounds, and nuclear medicine scans, the way a skilled radiologist would. The role is open to both radiologists and imaging technologists. Your reads, impressions, and written rationale become the signal that shapes the next generation of imaging AI.

What you’ll actually do

• 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.

Problems draw on whatever you know best:

• Radiography: chest and musculoskeletal plain film.
• Ultrasound and sonography.
• Nuclear medicine and molecular imaging.
• Cross-sectional imaging: CT and MRI.
• Subspecialty reads: neuro, body, cardiothoracic, and emergency.

Roles this fits

Common backgrounds: Radiologist, Ultrasound Technologist, Nuclear Medicine Technologist.

What we look for

• 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.
• Only applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States will be considered for this role.

Compensation

Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.