Data Annotator
As a data annotator at Hugo Inc, I labeled and categorized large datasets comprising text, images, audio, and video for AI and machine learning model training. I followed strict annotation guidelines and quality assurance measures to ensure high accuracy and data integrity. My work contributed to the reliability, fairness, and improved performance of AI systems. • Consistently maintained annotation accuracy between 85–95%, supporting robust machine learning training. • Conducted quality reviews to identify and correct labeling inconsistencies, reducing error rates. • Upheld 100% compliance with data privacy, security, and ethical AI standards. • Assisted in developing balanced datasets to minimize bias in AI models.