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 some of the world's biggest technology companies and leaders in financial services, insurance, technology, law, and medicine.
By combining advanced ML/AI technologies, a global workforce of subject matter experts, and a high‑security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of digital data solutions and high‑quality platforms with a workforce of over 5,000 employees across the United States, Canada, United Kingdom, the 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 for NLP pipelines, including grammar guides, syntactic analyses, usage explanations, or examples.
Identify and resolve issues related to ambiguity, bias, and grammaticality.
Perform 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.
Seniority level
Entry level
Employment type
Full‑time
#J-18808-Ljbffr