Radiologist & AI Imaging Trainer

DataAnnotation; Shaker Heights (OH); Remote; USD 100.000 - 200.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

Flexible schedule

Zusammenfassung

DataAnnotation seeks an experienced Radiologist or imaging technologist to help train AI models by auditing reads of chest X-rays, ultrasounds, and nuclear medicine studies. You will produce structured reports with detailed impressions and defend your conclusions.

You’ll compare dual interpretations, log discrepancies, and identify gaps in model-generated reports to improve future versions. Remote-friendly, English fluent, US/UK/Canada-based applicants preferred.

Qualifikationen

• Fluency in English (native or bilingual).
• Residency-trained or board-certified radiologist, or credentialed/licensed imaging technologist.
• Hands-on experience performing or interpreting studies.
• Clear, well-organized writing and ability to justify why a report is wrong.
• Detail-oriented and able to document reasoning clearly.
• Applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States only.

Aufgaben

• Review de-identified studies alongside their clinical context.
• Write comprehensive, structured reports documenting every finding.
• Give clear impressions and recommend next steps for follow-up.
• Compare two independent interpretations and log discrepancies.
• Pinpoint what model-generated reports miss or are incomplete.

Kenntnisse

Fluency in English

Radiology residency

Board certification in Radiology

Hands-on imaging experience

Clear writing

Detail-oriented

Ausbildung

Radiology residency

Board certification in Radiology

Jobbeschreibung

DataAnnotation seeks an experienced Radiologist or imaging technologist to help train AI models by auditing reads of chest X-rays, ultrasounds, and nuclear medicine studies. You will produce structured reports with detailed impressions and defend your conclusions.

You’ll compare dual interpretations, log discrepancies, and identify gaps in model-generated reports to improve future versions. Remote-friendly, English fluent, US/UK/Canada-based applicants preferred.