Careers
Working Student, Data & Testing
Get hands-on with real AI products: data pipelines first, then test automation across two products.
Saarbrücken, hybrid · Working student, up to 20 hours a week in term · Start: January 2027
The role
You start on data and move to testing. First you bring new institutions’ data into our research-analytics product. As our products mature, you take over end-to-end testing for both of them.
Why this role
- Real work on production systems from your first week, not a side project.
- You see how a small team builds software with AI coding agents.
- Two products from the inside: data first, then quality across both.
What you will do in your first year
- Run data ingestion for new institutions from open scholarly sources (OpenAlex, Crossref, PubMed, ORCID), with AI agents writing the routine code; check the results against what each institution really publishes, and fix what is wrong.
- Prepare institution datasets and help onboard new institutions.
- Later in the year, own the reference (“golden”) test data for both products, direct AI agents that write end-to-end tests, and prove each test fails when the code breaks.
What you bring
- Enrolment as a university student in computer science, data science or a related subject.
- Python, SQL and Git.
- Care with data and detail.
- Curiosity about AI coding tools, and the habit of checking their output.
Nice to have
Working with public APIs; MongoDB; Playwright or pytest; Docker.
Apply.
The full advert, the terms and the application form are on Indeed. If you would rather write to us directly, send your CV and one link that shows your work — code, a paper, or a project you built.