Finance Master Data

Há 2 dias

Ituiutaba, Brasil Innodata Inc. Tempo inteiro

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

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.

Next Steps: To proceed further in the evaluation process, you will need to complete two assessments: Assessment Test Evaluates your linguistic and analytical skills, and the Versant English Proficiency Test, which focuses on assessing your spoken and written English proficiency. A C1 or C2 level is required to qualify.

We are an equal opportunities employer and welcome applications from all qualified candidates.

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