Remote Radiologist AI Trainer: Shape Next-Gen Imaging

DataAnnotation; Oak Brook (IL); Remote; USD 100,000 - 200,000; Full time

Benefits offered by this job

Flexible, remote work

Project-based work

Job summary

DataAnnotation seeks an experienced radiologist or imaging technologist to help train AI models by reviewing de-identified studies and generating comprehensive, structured reports. You will detail findings, impressions, and next steps, while comparing independent interpretations and logging discrepancies to improve AI readings.

Applicants should be residency-trained or board-certified radiologists or credentialed imaging technologists, with strong English writing and attention to detail.

Qualifications

• Fluency in English is required.
• Residency-trained or board-certified radiologist, or credentialed/licensed imaging technologist.
• Hands-on experience interpreting or performing imaging studies.
• Clear, well-organized writing with justification for any report corrections.
• Detail-oriented and able to identify omissions in reports.
• Only applicants based in the US or allowed international locales will be considered.

Responsibilities

• Review de-identified studies ( chest X-rays, ultrasounds, nuclear medicine scans) with clinical context.
• Write comprehensive, structured reports documenting all findings, including subtle and incidental ones.
• Provide clear impressions and recommend next steps (follow-up scans or further workup).
• Compare two independent interpretations, resolve differences, and log discrepancies.
• Identify where model-generated reports miss, misstate, or are incomplete.

Skills

Fluent English

Clear writing

Detail-oriented

Hands-on experience

Education

Board-certified radiologist

Credentialed imaging technologist

Job description

DataAnnotation seeks an experienced radiologist or imaging technologist to help train AI models by reviewing de-identified studies and generating comprehensive, structured reports. You will detail findings, impressions, and next steps, while comparing independent interpretations and logging discrepancies to improve AI readings.

Applicants should be residency-trained or board-certified radiologists or credentialed imaging technologists, with strong English writing and attention to detail.