Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operating in 13 cities worldwide, we provide AI technology solutions to 4 out of 5 of the world’s biggest technology companies and to leading firms in financial services, insurance, technology, law and medicine.
Combining advanced machine learning and artificial intelligence (ML/AI) technologies with a global team of experts and high‑security infrastructure, we help usher in the promise of AI. Our global workforce includes over 5,000 employees across the United States, Canada, United Kingdom, Philippines, India, Sri Lanka, Israel and Germany.
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.
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.
* Strong writing, editing, and communication skills.
* Bachelor’s, Master’s or PhD in Linguistics or a related field.
* Experience with computational linguistics, corpus analysis, language data annotation, or LLM training is a plus.
Seniority Level
* Entry level
Employment Type
* Full‑time
Job Function
* Information Technology
Industries
* Business Consulting and Services
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