We are seeking a detail-oriented linguist to support AI training initiatives and linguistic content creation.
This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics) and a passion for language, technology, and clear communication.
The successful candidate will play a crucial role in shaping the capabilities of 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 behaviour, error patterns, and generalization issues.