Data Annotation Specialist
As a Data Annotation Specialist at ATLAS, I reviewed and refined outputs from large language models (LLMs) to ensure accuracy and quality. I conducted extensive web research and fact-checking to verify the credibility of AI-generated content. My role involved prompt engineering and correcting AI errors to uphold strict guidelines. • Enhanced the accuracy of AI-generated text responses. • Conducted research-backed fact-checking for AI outputs. • Implemented prompt optimizations to improve data quality. • Annotated AI-generated documents across diverse subjects.