Data Labeling & AI Training Experience
Project Scope AI model training through text data annotation and evaluation to improve language understanding and response quality. Data Labeling Tasks Text classification (sentiment, intent, tone), AI response evaluation, content rewriting, grammar correction, fact-checking, and conversational data annotation. Project Size Large-scale datasets with thousands of text samples processed in batches under tight deadlines. Quality Measures Followed strict guidelines, ensured consistency, maintained high accuracy, performed careful review checks, and ensured clarity and correctness in all labels.