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6 days ago
This role involves curating, annotating and evaluating high-quality linguistic data to support the development of large language models (LLMs) and natural language processing (NLP)-based systems.
The ideal candidate will have a strong academic background in linguistics, a passion for language, technology and clear communication, as well as experience with one or more of the following areas: computational linguistics, corpus analysis, language data annotation, LLM training.
Key Responsibilities:- Develop 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.
- Perform quality assurance on model outputs for fluency, tone, factual accuracy and language appropriateness.
- Annotate linguistic datasets with syntactic, semantic or pragmatic labels.
- Support internal teams by conducting linguistic research and summarizing findings.
- Apply linguistic knowledge to evaluate model behavior, error patterns and generalization issues.
- Degree in Linguistics, Applied Linguistics, Computational Linguistics or a related field.
- Deep understanding of linguistic theory and language structure.
- Strong writing, editing and communication skills.
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