Linguist - 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: Portuguese, Location: Brazil)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: tsharma@innodata. com.