
Working Student (m/f/d) – Electrical / Mechanical Engineering for AI Applications
Required skills
Job description
Trench Group posted this role. Below, we break down what it means for a working student in Berlin: your weekly hours, take-home pay and visa limits. You can also open ChatGPT or Claude with a ready-made prompt to tailor your CV, check your fit, draft a cover letter or prep for the interview.
Will your CV clear this job's ATS filter? Scan it against this job with Jobscan
Description provided by Trench Group
Sense the Power
Trench Group is a global leader in high-voltage power transmission components and systems. Headquartered in Berlin with over 100 years of experience, the company leads the portfolio of high-voltage power transmission components and systems. With product groups including bushings, coils, and instrument transformers, the company is a system-critical player in the energy transition and sustainable energy future. These intelligent and technologically advanced solutions are used for measurement, protection, and connection within the power grid. We operates globally with more than 2,500 employees across nine factory locations and four regional sales hubs.
Big Energy - Powered by Bold People
We are a growing company where innovation isn’t just a buzzword - it’s how we work every day. AI is at the core of what we build, especially where engineering meets intelligent systems.
As a Working Student in Electrical or Mechanical Engineering for AI Applications, you’ll connect real-world engineering knowledge with AI use cases - from supporting visual inspection models to structuring technical specifications for AI tools. f you’re curious about applying AI to industrial challenges and turning data into practical solutions, you’ll fit right in.
Your Tasks:
- Act as the bridge between our engineering domain knowledge and our AI use cases.
- Support our Visual Inspector project: help define visual inspection criteria for high-voltage components, label and curate image datasets, and validate the model's outputs against real engineering and quality standards.
- Support our Spec Analyzer: help structure technical specifications and map electrical/mechanical requirements (IEC / IEEE / ANSI standards, product characteristics) into a form our AI tools can use.
- Build and clean training and evaluation datasets from manufacturing, quality and product master data.
- Translate engineering and shop-floor requirements into clear, actionable requirements for the AI/BI team.
- Test AI tools against real product data and document what works, what doesn't, and why.
- Enrolled student for at least 12 more month in Electrical Engineering, Mechanical Engineering, Mechatronics, Energy Engineering or a related field.
- Genuine interest in applying AI/ML to industrial and manufacturing problems. Basic understanding of technical drawings, manufacturing processes, and/or electrical standards.
- A structured, detail-oriented way of working — essential for data labeling and validation.
- Knowledge of Python and basic data analysis (pandas, SQL). Familiarity with ML concepts - classification, computer vision, or LLMs.
- Exposure to high-voltage equipment, transformers, or similar power products.
- Experience with SAP or PLM/product data.
- Good communication in German and English (German is helpful for engineering and shop-floor documentation).
- Growth with Purpose: Join a globally growing energy company with a vision and a bright future in the energy transition
- Strong Teams, Big Energy: Work in highly professional, international teams defined by respect, appreciation, and a shared drive to shape the future of energy
- Fair Rewards: Competitive pay, monthly vouchers for shopping, well‑being, or personal development, plus subsidized lunch and membership in a corporate benefits program
- Personal & Professional Development: Learn and grow in an international environment with hands‑on experience and continuous development opportunities
- Modern Working Environment: A modern way of working, 30 days’ vacation, and a tariff agreement combined with contemporary offices, height‑adjustable desks, free fruit & coffee, and regular team events
Working student essentials
What this Tech working student role in Berlin means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.
Weekly hours
Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.
Working student rulesSocial contributions
Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany