Remote Ultrasound AI Trainer Radiology Reads

Data Annotation is seeking an experienced Radiologist or imaging professional to help train AI models by reviewing studies and drafting structured reports. You will provide impressions, recommend next steps, and log discrepancies between interpretations to improve model accuracy.

Responsibilities include comparing independent reads, detailing findings, and identifying gaps in model-generated reports. This is remote, project-based work with opportunities across multiple imaging modalities.

Our group is growing, and we are hiring a Remote Ultrasound AI Trainer for Radiology Reads in Chicago, IL, United States.

Learn more about the Remote Ultrasound AI Trainer for Radiology Reads role in the description above.

We appreciate your interest in this position.

Join Data Annotation and contribute to our ongoing work.

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