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.Our global workforce includes over 5,000 employees in 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.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 one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.Strong writing, editing, and communication skills.- 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.If Interested, kindly send your resume at: