LLM Text Annotation & Classification
Worked on large-scale text data labeling for LLM training and evaluation. Tasks included entity recognition (NER), intent and topic classification, prompt-response writing for supervised fine-tuning (SFT), and quality evaluation of model outputs. Labeled and reviewed thousands of text samples while strictly following annotation guidelines.