Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider‑of‑choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (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 both digital data solutions and easy‑to‑use, high‑quality platforms.
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 (Language: Spanish, Location: Spain)
Experience Level
Bachelors or Masters or PhD in Linguistics or a related field.
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 computational linguistics, corpus analysis, language data annotation, or LLM training.
* Strong writing, editing, and communication skills.
Additional Information
* Seniority level: Entry level
* Employment type: Full‑time
* Job function: Science
* Industries: Professional Training and Coaching
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