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Working Student (m/f/d) – Electrical / Mechanical Engineering for AI Applications

Trench -
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SAP
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Python

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Berlin, Berlin, Germany

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Posted on: 6/4/2026

Working Student (m/f/d) – Electrical / Mechanical Engineering for AI Applications

Hybrid | Part time | Student (not yet graduated)

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.

Requirements:

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.
L). 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).

We offer:

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 d 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

HAVE WE PIUED YOUR INTEREST? We are looking forward to receiving your application - just click on the "" button and send us your application.

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