AI Data Annotator / AI Training Specialist
Worked on AI training and data annotation projects focused on improving NLP and conversational AI systems. Labeled and reviewed large volumes of text and conversational data, including intent classification, sentiment tagging, and entity recognition. Evaluated AI-generated responses for accuracy, relevance, safety, and instruction adherence, and ranked outputs to support model fine-tuning. Applied detailed annotation guidelines to ensure consistency across datasets and handled edge cases involving ambiguity, bias, and low-quality data. Performed quality assurance by reviewing annotations, correcting inconsistencies, and maintaining high accuracy standards under tight deadlines. Contributed to human-in-the-loop training workflows by identifying failure patterns in model responses and providing structured feedback to improve overall model performance.