Linguistics Expert – AI Training & Content Writing

Innodata Inc.

Brasil

On-site

BRL 89,280 - 133,920

Part time

14 days+

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Job summary

A leading tech consulting firm in Brazil is seeking a Linguistics Expert for AI training and content writing. This part-time role focuses on creating linguistically-rich content and ensuring model accuracy. Applicants should have a Master's or PhD in Linguistics and strong analytical skills. Join us in shaping the future of language technology.

Qualifications

Strong academic background in linguistics (syntax, semantics, etc.).
Experience in AI training, linguistic data curation, or model evaluation.

Responsibilities

Create or edit linguistically-rich content for NLP pipelines.
Perform quality assurance on model outputs for fluency and accuracy.
Conduct linguistic research and summarize findings.

Skills

Deep understanding of linguistic theory

Strong writing, editing, and communication skills

Experience with computational linguistics or corpus analysis

Education

Master's or PhD in Linguistics or related field

Job description

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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

Experience Level: Master's 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.

Seniority level