About Innodata Inc.
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.
Job Title: Linguistics Expert – AI Training & Content Writing (Language: Spanish, Location: Spain) 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.
* Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.
Experience Level
Bachelor’s, Master’s or PhD in Linguistics or a related field.
Seniority level
* Entry level
Employment type
* Full‑time
Job function
* Science
Industries
* Broadcast Media Production and Distribution
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