AI Data Annotation for Natural Language Processing
Worked on AI training projects involving large-scale text data annotation for natural language processing models. Tasks included text classification, sentiment labeling, entity tagging, and intent recognition across diverse datasets. Ensured high-quality annotations by following strict labeling guidelines, performing quality checks, and maintaining consistency across thousands of data samples. Collaborated with QA reviewers and adhered to accuracy benchmarks to improve model training performance.