Skills this job asks for
PythonGitLLMsMachine learningEnglish
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Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. Germany EU Blue Card needs at least €50,700 a year (shortage-occupation / recent-graduate: €45,934).
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. Germany EU Blue Card needs at least €50,700 a year (shortage-occupation / recent-graduate: €45,934). Source: https://www.make-it-in-germany.com/en/visa-residence/types/eu-blue-card, rules effective 2026-01-01.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
Location: Hamburg, Germany · Part-time alongside your studies
About Tracium
Tracium builds AI-assisted software that helps technical teams turn complex manuals into structured, traceable information. We combine document intelligence with S1000D authoring, starting with maritime applications.
Your role
Work alongside experienced engineers on practical AI problems involving real technical documents. You will contribute to experiments, evaluation, and product improvements while developing your engineering skills with guidance from the team.
What you’ll do
• Explore document parsing, OCR, and structured information extraction.
• Build Python scripts and small prototypes using AI models.
• Prepare and maintain datasets for testing extraction and retrieval quality.
• Compare model outputs with source documents and investigate errors.
• Help automate evaluation and regression checks.
• Contribute to document processing workflows and internal tools.
• Document your findings and share what works, what fails, and why.
What you bring
• Current enrolment in computer science, data science, mathematics, engineering, or a related degree.
• Hands-on Python development skills.
• Hands-on with Git, APIs, and data handling.
• Good understanding about LLMs, machine learning, document intelligence.
• Attention to detail and a willingness to test assumptions.
• Clear communication in English.
What you’ll gain
• Practical experience with AI beyond simple chatbot demos.
• Guidance, code reviews, and exposure to production engineering.
• Ownership of manageable tasks with visible product impact.
• Experience working directly with an early-stage founding team.
Apply
Send your CV, your field of study, expected graduation date, and weekly availability. Include a university or personal project if you have one—a short explanation is enough.
We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply.
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Berlin