AI Data Annotation & Text Classification Project
Worked on AI-related data annotation and text evaluation projects focused on training and improving Large Language Models (LLMs). Tasks included text classification, content evaluation, prompt-response writing, quality assessment, and data validation. Responsible for reviewing and categorizing large volumes of text data, identifying errors and inconsistencies, and ensuring compliance with detailed annotation guidelines. Additionally, performed quality control checks, data cleaning, and documentation to ensure high-quality datasets for model training and fine-tuning. The project required high attention to detail, consistency, and accuracy, following strict instructions and evaluation criteria.