. QA Machine Learning

Innodata is a global leader in data engineering and AI solutions, serving more than 2,000 customers with operations across 13 cities worldwide. We are a trusted AI solutions provider for 4 of the world's top 5 technology companies, as well as leading...
Innodata is a global leader in data engineering and AI solutions, serving more than 2,000 customers with operations across 13 cities worldwide.

We are a trusted AI solutions provider for 4 of the world's top 5 technology companies, as well as leading organizations in finance, insurance, technology, legal, and healthcare sectors.Through a powerful combination of Machine Learning and Artificial Intelligence (ML/AI), a highly skilled global workforce, and a secure infrastructure, we help shape the future of AI.

Our global team includes 5,000+ employees across the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany.About the RoleWe are seeking a highly analytical and detail-oriented Linguistics Expert to support AI model training initiatives and linguistic content creation.This role is ideal for professionals with a strong academic background in linguistics and a passion for language, technology, and clear communication.You will play a critical role in developing and improving large language models (LLMs) and Natural Language Processing (NLP) systems by curating, annotating, and evaluating high-quality linguistic data.

  • Job TitleLinguistics Expert – AI Training & Content WritingSpain | ? SpanishExperience Level:Bachelor's, Master's, or PhD in Linguistics or a related field.Key ResponsibilitiesCreate and edit linguistically rich content (grammar guides, syntactic analysis, usage explanations, NLP examples).

Identify and resolve issues related to ambiguity, bias, and grammatical accuracy.Perform quality assurance (QA) on model outputs (fluency, tone, factual accuracy, and linguistic appropriateness).

Annotate linguistic datasets with syntactic, semantic, and pragmatic labels.Conduct linguistic research and summarize findings for internal teams.Evaluate model behavior, error patterns, and generalization issues from a linguistic perspective.RequirementsStrong understanding of linguistic theory and language structure.Experience (preferred) in one or more of the following:Computational linguisticsCorpus analysisLinguistic data annotationLLM trainingExcellent writing, editing, and communication skills.Strong interest in AI, technology, and advanced linguistic applications.Why Join Innodata?

Work on real-world cutting-edge AI projectsCollaborate with a diverse global teamMake a direct impact on the development of advanced language modelsBe part of an innovative and fast-growing organizationInterested?

Please send your updated CV to: ******

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