AI Data Annotation & Training Support Assistant
Continuing to support AI training tasks involving text annotation, dataset labeling, and evaluation of model outputs. The work focuses on improving machine learning datasets through accurate entity recognition, classification, and prompt-response structuring. Tasks include reviewing AI-generated responses for correctness, relevance, and safety, as well as preparing high-quality examples for supervised fine-tuning (SFT). The project emphasizes consistency, attention to detail, and adherence to annotation guidelines to help improve overall model performance and reliability.