AI Data Labeling and Quality Review
Performed high-quality data annotation and evaluation for AI training, including text classification, named entity recognition, and response quality rating. Contributed to improving model performance by applying strict guidelines, ensuring consistency, and handling multilingual datasets (Arabic and English). Also worked on RLHF tasks to assess and rank AI-generated responses based on accuracy, relevance, and fluency.