Data Annotation & Labeling (Self-Directed Training)
I completed hands-on annotation exercises in text classification, sentiment labeling, and intent recognition to develop practical AI labeling skills. I followed structured annotation guidelines and maintained accuracy across batches of data. I learned to apply labeling criteria such as relevance scoring, entity tagging, and binary classification for AI dataset quality. • Demonstrated consistency in text annotation across diverse task sets • Practiced with typical AI training data workflows for clarity and accuracy • Gained experience in sentiment, intent, and entity labeling for NLP applications • Achieved high attention to detail in reviewing and classifying text samples