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4 days ago
As a detail-oriented linguist, you will contribute significantly to the development of high-quality linguistic data for large language models (LLMs) and NLP-based systems. Your primary responsibilities will include:
- Crafting or refining linguistically rich content, including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.
- Resolving issues related to ambiguity, bias, and grammaticality.
- Ensuring model outputs meet standards for fluency, tone, factual accuracy, and language appropriateness through quality assurance (QA).
- Annotating linguistic datasets with syntactic, semantic, or pragmatic labels.
- Supporting internal teams by conducting linguistic research and summarizing findings.
- Evaluating model behavior, error patterns, and generalization issues using linguistic knowledge.
Key Qualifications:
- Strong understanding of linguistic theory and language structure.
- Experience in computational linguistics, corpus analysis, language data annotation, or LLM training is an asset.
- Excellent writing, editing, and communication skills are essential.
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