Esheria Lex Chat Data Labelling
Worked on labeling and annotating conversational legal data used to train and improve AI language models. The project involved reviewing chat-based interactions, classifying legal queries, evaluating AI-generated responses for accuracy and relevance, and tagging data according to predefined guidelines. The goal was to help improve the model’s ability to understand legal terminology, provide structured responses, and maintain contextual accuracy in legal discussions.