Data Annotator at Hugo Technologies
I specialized in annotating and reviewing large volumes of text data to support AI model training initiatives. My role required strong attention to detail and strict adherence to project-specific guidelines to ensure both high productivity and data integrity. I contributed directly to improving overall annotation accuracy and model performance across multiple cross-functional projects. • Exceeded productivity targets by 45–60% while achieving 98–99% labeling accuracy • Performed quality assurance to identify and correct over 1,000 annotation errors • Maintained 100% compliance with data privacy, confidentiality, and secure data-handling standards • Used industry-standard annotation platforms in a remote, collaborative environment.