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IUNA AI

Internship – Computer Vision, AI

IUNA AI

. Support data preparation for AI models, including labeling and preprocessing .

Posted 9/17/2026internshipHeilbronn • GermanyEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong programming skills in Python, C++, and JavaScript while supporting data preparation and optimization for AI models. Engages in collaborative efforts with ML engineers and software developers to develop innovative AI-powered systems and computer vision software.

Highest-signal resume keywords
Python ProgrammingC++ ProgrammingJavaScript ProgrammingAI Model PreparationComputer Vision Software Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data PreparationData Pipeline OptimizationLabeling Tools ExperienceML WorkflowsDeep Learning
Soft Skills
Detail-OrientedIndependent Work
Industry Keywords
AI ApplicationsComputer VisionManufacturing

Tech Stack

Tools & technologies
JavaScriptPythonC++

About the role

Key responsibilities & impact
  • Support data preparation for AI models, including labeling and preprocessing
  • Contribute to optimizing data pipelines for the AI system
  • Work closely with ML engineers and software developers
  • Gain insight into real-world industrial projects with practical AI applications
  • Develop innovative, AI-powered camera systems and computer vision software for manufacturing

Requirements

What you’ll need
  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field
  • Enrolled in a Computer Science, Software Engineering, or comparable degree program
  • Interest in AI, deep learning, and computer vision
  • Programming skills in Python, C++, and JavaScript
  • Independent and detail-oriented approach to work
  • Good command of German or English
  • Bonus: Experience with labeling tools or ML workflows

Benefits

Comp & perks
  • Remote-first setup – work from almost anywhere
  • Direct exposure to a cutting-edge technology field
  • Take ownership of meaningful work with a steep learning curve
  • Flat hierarchies, a motivated team, and no shortage of interesting challenges
  • Subject to a successful collaboration: opportunity to continue as a working student or join the company after graduation