Arabic Romanized AI trainer
This project involves evaluating AI-generated responses based on language and conversation quality criteria. Annotators interact with the AI agent, tagging issues like grammar, fluency, and presentation, while categorizing conversation types (e.g., in-domain, out-of-domain). The project includes reviewing 12 exchanges per annotator, with the goal of improving AI's ability to generate emotionally intelligent and contextually relevant conversations. Quality measures focus on grammar, language consistency, and fluency, ensuring responses align with expected behavior and conversation norms