Tech Support Student Intern - AI-Driven Documentation

DANFOSS A/S; Silkeborg; On-site; DKK 165,000 - 248,000; Part time

Benefits offered by this job

Annual bonus

Paid vacation

Pension plans

Personal insurance

Job summary

Danfoss A/S in Silkeborg, Denmark, invites an engineering student for a part-time Technical Support Student role. You’ll document and support technology, update literature, and assist in field tests while learning from a global engineering team.

Ideal candidates are in early semester, curious about AI tools, with a customer-focused mindset. 10–15 hours weekly in Silkeborg (or Sofia) with flexible mentoring and growth opportunities.

Qualifications

• Currently pursuing engineering studies and eager to learn how AI can accelerate technical work.
• Demonstrates a genuine technical interest in mechanics and digital systems.
• Shows a customer-focused mindset and problem-solving from a user perspective.

Responsibilities

• Keep our technical literature accurate and clear, updating and correcting documentation to ensure accuracy and customer clarity.
• Maintaining and updating product home pages with latest information, FAQs, and relevant resource.
• Manage our product store, uploading and updating literature and making sure all information and assets are correct and up to date.
• Support and coordinate field tests for new and existing products, gathering feedback and providing input for successful implementation.
• Assist in benchmarking our products against competitors to identify areas for improvement.
• Provide first and second-line technical support to markets and customers via email, Microsoft Teams, and App Store/Play Store reviews for electronic thermostats and controls.

Skills

Engineering student

Technical curiosity

Customer focus

AI tools interests

Education

Engineering student (enrolled)

Job description

Danfoss A/S in Silkeborg, Denmark, invites an engineering student for a part-time Technical Support Student role. You’ll document and support technology, update literature, and assist in field tests while learning from a global engineering team.

Ideal candidates are in early semester, curious about AI tools, with a customer-focused mindset. 10–15 hours weekly in Silkeborg (or Sofia) with flexible mentoring and growth opportunities.