Linguistics Specialist - German

Innodata Inc.; Deutschland; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Innodata Inc. is seeking a rigorously trained linguist to support AI training and high-quality linguistic content work. The role emphasizes linguistic analysis, data curation, annotation, evaluation, and content creation for NLP pipelines, with a focus on ambiguity resolution and model improvement.

You will conduct QA on model outputs for fluency and accuracy, annotate datasets, and perform linguistic research to guide internal teams. Strong English writing and attention to detail are essential.

Qualifikationen

• Rigorous linguistic training with academic depth.
• Experience applying linguistic knowledge to real-world data.

Aufgaben

• Create and edit linguistically rigorous content: grammar guides, syntactic analyses, usage notes, and examples for NLP pipelines.
• Identify and resolve problems of ambiguity, bias, grammaticality, and pragmatic appropriateness.
• Conduct quality assurance on model outputs for fluency, tone, factual accuracy, and language appropriateness.
• Annotate linguistic datasets with syntactic, semantic, pragmatic, or morphological labels according to guidelines.
• Perform targeted linguistic research and produce clear summaries for internal teams.
• Analyse model behaviour, error patterns, and generalisation failures from a linguistic perspective and recommend improvements.

Kenntnisse

Linguistic analysis

Attention to detail

English writing

Critical thinking

Ausbildung

Formal linguistics background

Jobbeschreibung

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.

We are looking for a rigorously trained linguist with genuine academic depth to support AI training and high-quality linguistic content work. This role is suited to candidates with a strong formal background in linguistics and a clear record of applying that knowledge.

Role Overview

You will contribute directly to the quality and reliability of large language models and NLP systems through precise linguistic analysis, data curation, annotation, evaluation, and content creation. The work demands analytical precision, attention to detail, and the ability to identify and resolve ambiguity, bias, grammaticality issues, and model error patterns.

Key Responsibilities

• Create and edit linguistically rigorous content: grammar guides, syntactic analyses, usage notes, and carefully constructed examples for NLP pipelines.
• Identify and resolve problems of ambiguity, bias, grammaticality, and pragmatic appropriateness.
• Conduct quality assurance on model outputs for fluency, tone, factual accuracy, register, and language appropriateness.
• Annotate linguistic datasets with syntactic, semantic, pragmatic, or morphological labels according to defined guidelines.
• Perform targeted linguistic research and produce clear summaries for internal teams.
• Analyse model behaviour, error patterns, and generalisation failures from a linguistic perspective and recommend improvements.

Required Profile

• Strong command of English for professional written communication
• High standards of accuracy, intellectual honesty, and attention to detail.

We look forward to welcoming candidates who combine strong linguistic training with analytical rigour and intellectual honesty.