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Language Engineer - Native in Danish

Confidential

Barcelona, Catalunya [Cataluña], Spain permanent

Posted: January 30, 2026

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Quick Summary

Join our AI Voice Assistant project to support the training of Machine Learning and Natural Language Processing models to expand the model's responsiveness.

Job Description

At M47, we spark AI!

We help multinational tech companies understand how AI can drive their strategic objectives, effectively plan an implementation roadmap, and facilitate change management. By leveraging AI, businesses achieve higher productivity, more satisfied clients, and better-informed decisions.

Join us in making the future more intelligent!

About your day-to-day:

You will join our AI Voice Assistant project to ensure seamless user interactions. Our mission is to support the training of Machine Learning and Natural Language Processing models to expand the model's responsiveness across different languages. To do so, we work in a native language environment.

• Iterate on data to improve the accuracy of NLP/ML models for your native language.

• Analyse the model's output to provide insights and improvements for the algorithms.

• Provide input and suggestions towards new product features tailored to each language.

• Automate and integrate workflows from diverse systems.

What is in it for you?

💪🏽 Indefinite full-time contract

☀️ Office located at the heart of Barcelona

💸 Comprehensive compensation package, including private medical insurance coverage and flexible remuneration through Cobee, including meals, gym pass, transport, and kindergarten.

📚Learning budget to support your career ambition.

💪🏽 Get your wellness improved with Urban Sports

💸 Cover your tax and fiscal management with TaxDown

🌍 Great international, inclusive, and dynamic work environment (more than 20 nationalities!)

Why Apply Through MisuJob?

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Career Intelligence: Beyond job matching, MisuJob provides valuable career insights. See how your skills compare to market demands, identify skill gaps to address, and understand salary benchmarks for your experience level. Make data-driven decisions about your career path.

Frequently Asked Questions

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