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World Wide is seeking a linguistics-focused role to engage with AI models in Levantine Arabic. You will verify linguistic accuracy and cultural relevance of model outputs, capture traceable error data, and document failure modes. The role also involves proposing improvements to prompts and evaluation metrics to enhance data quality.
The ideal candidate has a strong background in Levantine Arabic linguistics, dialect variation, and clear, evidence-based communication about model behavior.
We are working to shape the future of AI by providing high-quality training data that captures the nuances of regional dialects and cultural contexts.