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Description review

Working Student — AI Engineering & Document Intelligence

Tracium GmbH · Berlin · back to the listing

HR standards

66/100

needs work

Title ↔ description

73/100

solid

Reads as

Machine Learning Engineer

99% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

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What the listing never says

  • 17 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Location: Hamburg, Germany · Part-time alongside your studies

About Tracium

https://www.linkedin.com/company/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.

Follow our journey
Follow Tracium on LinkedIn https://www.linkedin.com/company/tracium/ for product updates, engineering insights, and future opportunities.

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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