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Agency is seeking a language data annotator to review and annotate Wolof content, and to assess AI-generated outputs for accuracy and fluency. The role focuses on creating high-quality training data to improve large-scale language models and ensure culturally appropriate results.
You'll document error patterns, provide expert feedback on grammar, syntax, semantics, and style, and collaborate with engineers to refine prompts, evaluation methods, and linguistic guidelines.
This project focuses on developing high-quality training data to help large-scale language models deliver more natural, accurate, and contextually rich Wolof experiences.