Job
- Level
- Junior
- Job Field
- IT, System
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Sindelfingen
- Working Model
- Onsite
Job Summary
In this role, you will prepare knowledge-based documentation for Model-Based Systems Engineering, identify improvement potentials, and support the quality assurance of AI-driven knowledge resources.
Job Technologies
Your role in the team
- Our department designs and manages solutions for Model-Based Systems Engineering (MBSE) and supports the efficient application of processes, methods, and tools.
- A focus is on the clear, consistent, and reliable provision of knowledge - from how-tos and click guides to structured knowledge bases for internal AI and virtual assistant solutions.
- As a working student, you support us in preparing existing information for the future and sustainably improving its quality.
- You analyze and structure existing process, method, and tool documentation from various sources and consolidate redundant or conflicting content into consistent knowledge modules.
- You use generative AI tools to revise documentation, how-tos, and click guides in a target group-oriented manner, as well as systematically identify documentation gaps, inconsistencies, and areas for improvement.
- You support the quality assurance and harmonization of knowledge content for internal search, retrieval, and assistance systems, ensuring traceable sources, consistent standards, and compliance with regulations regarding AI.
This text has been machine translated. Show original
Our expectations of you
Education
- Degree in Computer Science, Business Informatics, Information Science, Technical Communication, or a comparable field of study.
Qualifications
- Proficient in German and English, both written and spoken.
- Commitment, teamwork skills, and enjoyment in making complex technical content understandable and tailored to the target audience.
- Analytical thinking as well as a structured, meticulous, and independent way of working.
- Interest in generative AI, knowledge management, and Model-Based Systems Engineering (MBSE), as well as a good sense for the quality, consistency, and traceability of information.
Experience
- Proficient in MS Office; initial experience with AI tools as well as knowledge or documentation systems is advantageous.
This text has been machine translated. Show original
What we offer
- The position can start from October 2026.
This text has been machine translated. Show original
Benefits
Higher Take-Home Pay
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Mercedes - Benz AG
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
Description
- Founding Year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Student trainee Engineering IT
- Location
- Sindelfingen
- Working Model
- Onsite
- Diversity
- Open for all genders
