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Agency is seeking a linguistics-focused annotator to review and annotate Uzbek content, assess AI-generated outputs for accuracy and fluency, and identify error patterns. You will help build high-quality training data powering Uzbek language models.
You will collaborate with a multidisciplinary team to refine prompts, evaluation methods, and linguistic guidelines, and provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness to improve model performance worldwide.
This project focuses on developing high-quality training data to power the next generation of large-scale language models for Uzbek speakers worldwide.