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AI Researcher – Multilingual Data

JobgetherGermany
Full-time7-15
👁️ 0 views📝 0 applicationsPosted 7/27/2026Expires 8/27/2026

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Job Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Researcher – Multilingual Data based in Germany. Join a cutting-edge research environment where multilingual AI innovation meets real-world impact.

In this role, you will drive the development of high-quality multilingual datasets and research strategies that power next-generation language models across diverse languages and domains.

Working at the intersection of research and engineering, you will transform scientific discoveries into scalable production solutions while contributing to state-of-the-art advancements in natural language processing.

This position offers the opportunity to publish influential research, collaborate with highly skilled experts, and shape the future of multilingual AI in a fast-paced, innovation-driven environment.

If you are passionate about solving complex language challenges and advancing machine learning research, this is an opportunity to make a meaningful global impact.

Accountabilities Design and conduct research focused on multilingual datasets, including data collection, filtering, deduplication, quality assessment, and optimization.

Develop innovative strategies for low-resource and long-tail languages through advanced sampling, data augmentation, and curriculum learning techniques. Research and improve multilingual large language models by enhancing cross-lingual transfer, alignment, robustness, and representation learning.

Build, maintain, and refine multilingual evaluation benchmarks to measure model quality and performance across languages. Collaborate closely with machine learning engineers and researchers to influence training pipelines, model architectures, and production deployment strategies.

Publish research findings at leading AI and NLP conferences while contributing to open-source initiatives when appropriate. Translate research outcomes into practical improvements that enhance produc

Required Skills

IT