Overview
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Innodata (NASDAQ: INOD) is a leading data engineering company with over 2,000 customers and operations in 13 cities worldwide. We are an AI technology solutions provider for major tech companies and leaders across financial services, insurance, technology, law, and medicine. Our global workforce includes over 5,000 employees across the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We combine advanced machine learning and artificial intelligence technologies with a global network of experts and a high-security infrastructure to advance the capabilities of AI.
About the role: We are seeking a highly analytical and 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, etc.) and a passion for language, technology, and clear communication. You 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.
Job Title: Linguistics Expert – AI Training & Content Writing
Experience Level: PhD in Linguistics or a related field
Location: Remote (or as specified by the company)
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
* 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.
Additional Information
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