Remote Radiology AI Trainer & Quality Assessor
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IT/Tech
Data Annotation/ AI Labeling, AI Evaluation
Job Description & How to Apply Below
Data Annotation invites experienced radiologists or imaging technologists to help train AI models by reading medical images and writing structured reports. You will compare interpretations, document discrepancies, and highlight gaps in model-generated reports to improve AI reasoning.
Candidates should be residency-trained or board-certified radiologists or credentialed imaging technologists, with strong English writing and detail orientation.
The Remote Radiology AI Trainer & Quality Assessor position in the Bio & Pharmacology & Health field is open for applications.
We appreciate your interest in this position.
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Take a moment to read everything above and see whether this role is right for you.
This posting is for the Remote Radiology AI Trainer & Quality Assessor role at Data Annotation, based in Berkeley, CA, United States.
We are looking to fill the Remote Radiology AI Trainer & Quality Assessor position at Data Annotation in Berkeley, CA, United States.
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