Data Annotation Specialist (Freelance/Remote)
In my role as a Data Annotation Specialist, I delivered high-quality, accurately labeled datasets to support the training and optimization of AI and machine learning models. I performed detailed text annotation tasks, including sentiment analysis (positive, negative, neutral classification) and named entity recognition (NER) to identify entities such as persons, locations, organizations, and dates. I applied rigorous quality assurance processes to ensure consistency and accuracy, maintaining an average annotation accuracy of 96%+ across 2,000+ data samples. I strictly followed project guidelines and annotation standards while using internal and proprietary tools to complete tasks efficiently. Additionally, I conducted data validation and error-checking to minimize inconsistencies, contributing to improved model performance and reliability. My work required strong attention to detail, analytical thinking, and the ability to maintain high productivity in fast-paced, deadline-driven environments.