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Agency is seeking a language data evaluator to engage with AI models in Levantine Arabic, ensuring linguistic accuracy and cultural relevance across diverse topics.
The role requires deep knowledge of Levantine dialects and the ability to document model behavior with clear, metacognitive notes for improving prompts and evaluation metrics.
This project focuses on developing high-quality training data to help large-scale language models accurately capture Levantine Arabic vocabulary, grammar, and cultural context.