AI Training Data Annotation for NLP & Sentiment Analysis
DocumentEntity Ner Classification
Worked on large-scale AI training data annotation projects focused on natural language processing tasks. Responsibilities included labeling and categorizing text datasets such as customer reviews, survey responses, and social media content into predefined sentiment and thematic classes. Performed named entity recognition (NER) by identifying and tagging entities like names, locations, dates, and organizations. Conducted data validation and quality assurance by reviewing annotated datasets, resolving inconsistencies, and ensuring strict adherence to annotation guidelines. Maintained high accuracy levels while handling thousands of data entries under tight deadlines, contributing to improved model training and performance.
Worked on large-scale AI training data annotation projects focused on natural language processing tasks. Responsibilities included labeling and categorizing text datasets such as customer reviews, survey responses, and social media content into predefined sentiment and thematic classes. Performed named entity recognition (NER) by identifying and tagging entities like names, locations, dates, and organizations. Conducted data validation and quality assurance by reviewing annotated datasets, resolving inconsistencies, and ensuring strict adherence to annotation guidelines. Maintained high accuracy levels while handling thousands of data entries under tight deadlines, contributing to improved model training and performance.
2024 - 2025