AI Text Data Labeling & Model Evaluation Project
Worked on AI data labeling and training tasks focused on improving the quality and accuracy of large language models. Responsibilities included annotating and classifying text data, evaluating AI-generated responses based on predefined guidelines, detecting errors and inconsistencies, and providing structured feedback. The project required high attention to detail, consistency, and adherence to quality standards. I worked with multilingual content (primarily Arabic and English) and ensured data accuracy, relevance, and ethical compliance. Quality control processes were followed to maintain high labeling precision and reliability.