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# Working Student AI/ML & Data Science (all genders) - Berlin

- **Company:** MBition GmbH
- **Location:** Berlin, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Natural Language Processing, Software Product Management, User-Centered Design, Reinforcement Learning, Large Language Models, Deep Learning, Git, Information Technology, Unsupervised Learning
- **Published:** September 4, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=c52d39688b4b3d42

## About the Role

* Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a comparable qualification.
 * Strong understanding of machine learning and artificial intelligence fundamentals (e.g., supervised/unsupervised learning, deep learning, natural language processing, reinforcement learning).
 * It is mandatory to be enrolled in a university for the entire employment period.
 * English is the working language, german is good to have.
 * You are based in or near Berlin.

Nice to have

 * Experience with data annotation processes, tools, or quality assurance for AI/ML datasets.
 * Familiarity with agentic platforms, large language models (LLMs), or related AI product development concepts.
 * Proven experience with version control systems (preferably Git).
 * Knowledge of challenges and constraints within the automotive domain.
 * Native or near-native knowledge in other languages.
 * Experience in user research or user-centric design principles.

## Description

* Contribute to the design, implementation, and optimization of data annotation strategies for diverse AI/ML datasets.
 * Assist in the development, testing, and refinement of agentic platform components, machine learning models, or related AI-driven features.
 * Apply your strong grasp of machine learning and artificial intelligence fundamentals to analyze complex data, uncover insights, and propose innovative solutions.
 * Collaborate closely with team members to integrate AI/ML solutions into existing systems or new product functionalities.
 * Research and evaluate state-of-the-art AI/ML techniques, tools, and methodologies relevant to ongoing and future projects.


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