Linguistics Expert – AI Training & Content Writing (German)

Innodata Inc.; Berlin; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A tech company focused on AI is seeking a Linguistics Expert to support AI training and content writing. You'll create linguistically-rich content and ensure quality in language processing. A Master’s or PhD in Linguistics is required, along with strong analytical and communication skills. Join us in shaping AI capabilities in Berlin.

Qualifikationen

• Deep understanding of linguistic theory and language structure.
• Experience with computational linguistics or language data annotation is a plus.
• Strong writing, editing, and communication skills.

Aufgaben

• Create or edit linguistically-rich content for NLP pipelines.
• Identify and resolve issues related to ambiguity and grammaticality.
• Perform quality assurance on model outputs for accuracy and appropriateness.
• Annotate linguistic datasets with relevant labels.
• Conduct linguistic research and summarize findings.
• Evaluate model behavior and error patterns.

Kenntnisse

Linguistic theory understanding

Writing and editing skills

Analytical skills

Ausbildung

Master’s or PhD in Linguistics or a related field

Jobbeschreibung

Overview

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 behaviour, 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.