We are seeking a detail-oriented linguist to support AI training initiatives.
This role requires a strong academic background in linguistics and a passion for language, technology, and clear communication.
The ideal candidate will play a crucial role in shaping large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.
Key Responsibilities:
* Create or edit 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 (QA) 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.
Qualifications:
* 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.