
Language Data Specialist
6 days ago
Key Responsibilities:
- Creating or editing linguistically-rich content, including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines
- Identifying and resolving issues related to ambiguity, bias, and grammaticality
- Performing quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness
- Annotating linguistic datasets with syntactic, semantic, or pragmatic labels
- Supporting internal teams by conducting linguistic research and summarizing findings
- Applying linguistic knowledge to evaluate model behavior, error patterns, and generalization issues
Qualifications:
- Master's or PhD in Linguistics, Applied Linguistics, Computational Linguistics, or a related field
- Deep understanding of linguistic theory and language structure
- Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training
- Strong writing, editing, and communication skills
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