Join to apply for the Linguistics Expert role at Innodata Inc.
Innodata (NASDAQ: INOD) is a leading data engineering company with more than 2,000 customers and operations in 13 cities. We serve major technology companies and leaders across financial services, insurance, technology, law, and medicine, using advanced machine learning and AI technologies to deliver high‑quality platforms.
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.
Key Responsibilities
Create or edit linguistically‑rich content for NLP pipelines (grammar guides, syntactic analyses, usage explanations, examples).
Identify and resolve issues related to ambiguity, bias, and grammaticality.
Perform quality assurance on model outputs for fluency, tone, factual accuracy, and language appropriateness.
Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.
Support internal teams with 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: computational linguistics, corpus analysis, language data annotation, LLM training.
Strong writing, editing, and communication skills.
Next Steps
To proceed, complete two assessments: an Assessment Test to evaluate linguistic and analytical skills, and a Versant English Proficiency Test (AC1 or C2 level required).
Upon successful completion, you will receive an invitation to our internal job platform, XConnect. Please register and complete your profile. All onboarding, communication, and documentation are managed through XConnect.
If interested, kindly share your resume at: ******
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Other
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