Linguistics Expert – AI Training

2 weeks ago

India Innodata Inc. Full time

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.

As the next step in our hiring process, we request you to complete an important assessment related to Large Language Models (LLMs) .

Assessment Details:

  • Assessment Topic: Large Language Models (LLMs)
  • Total Questions: 122
  • Duration: 90 minutes
  • Mode: Online

Please complete the Assessment Test:



Please make sure to:

  • Find a quiet space where you can focus without interruptions
  • Complete the test in one sitting (it cannot be paused)
  • Submit the assessment before the deadline (if any, mention here)

If you face any issues or have questions, feel free to reply to this email or contact us directly.


Contact -

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    2 weeks ago

    India Innodata Inc. Full time

    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...

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