AI Data Annotation & NLP Model Training
Worked on AI training and data labeling tasks focused on improving natural language processing models. Responsibilities included annotating large volumes of text data for sentiment analysis (positive, negative, neutral), intent classification, and named entity recognition (NER). Additionally, evaluated and ranked AI-generated responses based on accuracy, relevance, clarity, and safety guidelines. Ensured consistency by strictly following annotation instructions and identifying edge cases to improve model performance. Handled datasets ranging from short user queries to longer conversational text, maintaining high attention to detail and accuracy across all tasks. Collaborated within structured workflows to meet quality benchmarks and delivery timelines.