Foundation Model Research Engineer for AI Data Provenance, Quality and Maintenance (EU Project MINERVA) (E 13 TV-L, 100%, m/f/d)

The Tübingen AI Center is looking for a research engineer to work on large-scale foundational models. Access to large-scale high-quality data is the major force of modern AI developments across different scientific fields. We are searching for research engineers that are interested in creating impact through the development of best practices in curation and dissemination of high-quality training data. Modalities include text, videos, images and other data sources and formats. This position is until the end of the MINVERA project 31.12.2027.

Who We Are

The Tübingen AI Center aims to foster a world-class research ecosystem in the field of Machine Learning and Artificial Intelligence. It is one of five competence centers funded by Germany's Ministry of Education and Research and collaborates closely with the first institute of the European Laboratory for Learning and Intelligent Systems (ELLIS). It is part of the major Cyber Valley initiative, where many partners in academia and industry have joined forces to work on breakthroughs in artificial intelligence. The Tübingen AI Center is a joint institute between the University of Tübingen and the Max Planck Institute for Intelligent Systems, which are top academic institutions in artificial intelligence. An important part of the Tübingen AI Center is the software engineering team that supports the research ecosystem in website platforms, computing infrastructure and research projects.

In this position you will

  • Curate sources of high-quality training data (text, videos, images, climate data, and other multimodal formats)
  • Develop novel methods and best practices to maintain clear records of data provenance, language tags, meta-data and opt-out mechanisms appropriate for European law
  • Contribute to and develop new open source software
  • Work with European data owners, such as libraries, to develop ways to transparently include
  • their corpora to strengthen European perspectives in new AI models.

There are many avenues to create an impact through your work

  • Work with other European projects e.g. OpenEuroLLM, ELLIOT, and AI research centers to make high-quality data freely available.
  • Contribute to teaching and education on the topic
  • Contribute to novel research on AI-assisted tooling to improve data quality, extraction and tracing

Qualifications:

  • Master's degree in Computer Science or a related technical field.
  • A strong interest in computer science and artificial intelligence.
  • Curiosity driven person with interest in research for example demonstrated by a first publication.
  • Experience in machine learning, computer vision, or a related area.
  • Excellent programming skills in Python.
  • Good mathematical foundations in linear algebra, probability, and statistics.

Data generated and maintained by these efforts are a critical stepping stone toward the next generation of open-source models, whose properties will be irrevocably shaped by the data they are trained on. This position is part of the European Minerva project that connects different research partners and major HPC providers.

Show us what you can do by providing links to your portfolio examples, GitHub or online source code repository.

What we offer

The position is going to start as soon as filled. Our team is passionate about AI and consists of people from all around the world. This position is a great opportunity to gain or advance skills in machine learning. We have a flexible structure and you are encouraged to also push your own ideas and projects.

Application and Deadline

Equally qualified applicants with disabilities will be given preference in the hiring process. The university is committed to equal opportunities and diversity. The University of Tübingen seeks to raise the number of women in research and therefore urges suitable qualified women to apply for this position.
The position can be shared. The employment will be carried out by the central administration of the University of Tübingen. Please send your complete application documents (cover letter, CV and credentials) electronically as a single PDF file via email to applications＠tuebingen․ai by August 31, 2025.