This role is a crucial part of shaping the capabilities of large language models (LLMs) and NLP-based systems.Create linguistically-rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.Identify and resolve issues related to ambiguity, bias, and grammaticality in linguistic data.Evaluate model behavior, error patterns, and generalization issues by applying linguistic knowledge.Key Responsibilities:Linguistic Data Curation:Create and edit high-quality linguistic content for NLP pipelines.Model Evaluation:Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.Evaluate model outputs for fluency, tone, factual accuracy, and language appropriateness.Supporting Teams:Conduct linguistic research and summarize findings to support internal teams.