AI Trainer
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Jerry is an AI Data Annotation and Evaluation Specialist — essentially a human quality controller for AI systems. He reviews and labels AI-generated outputs, identifies errors and edge cases, and provides structured feedback that helps train and improve AI models. He's done this work remotely for companies like Appen, TELUS International, and Scale AI for about 7+ years.
Detail-oriented AI Data Annotation and Evaluation Specialist with 7+ years of experience supporting major AI labs through large-scale human data pipelines. Consistently maintained 98%+ accuracy across millions of annotated tasks spanning text, search, and multimodal evaluation. Proven expertise in applying complex rubrics, identifying edge cases, and delivering structured feedback that improves model training quality. Experienced with Appen, Scale AI, and TELUS International platforms.
M.S. in Information Technology and B.S. in Computer Science, both from the University of Nevada, Las Vegas (UNLV), graduated 2017 and 2015 respectively.
