AI Data Annotation & Evaluation Support (Academic/Project-based)
Supported AI data annotation and evaluation for LLM and agent workflows through guideline-based annotation and dataset preparation. Performed data cleaning, error tagging, response quality review, and assisted with creating evaluation sets for AI model training. Ensured annotation consistency and contributed to operational support activities for AI training data pipelines. • Conducted dataset cleaning and quality checks for text-based AI workflows. • Applied annotation guidelines to label conversational AI and agent responses. • Tagged and categorized output errors for model evaluation and improvement. • Collaborated in preparing and reviewing evaluation sets for LLM training.