Hybrid Working Student – Computational Linguistics Internship

at Digital Loop GmbH

• Job title: Working Student – Computational Linguistics Internship
• Job type: Internship
• Experience level: Entry level
• Salary: Not specified
• Degree requirement: Professional Certificate
• Tech skills: Python
• Location requirements: Hybrid, Munich, Germany

About the role

• Working student supporting agent workflow creation and optimization in computational linguistics for Digital Loop GmbH. Engaging in knowledge transfer and collaborating across teams for marketing tech solutions.

Responsibilities

• Assist in creating agent workflows and their components (prompting, RAG pipelines, etc.).
• Extract and prepare content elements from documents, e.g., product data, internal guidelines, etc.
• Perform quality assurance and continuous optimization of agents, prompts, and workflows.
• Facilitate knowledge transfer to other teams through presentations, best-practice guidelines, etc.

Requirements

• Student (at least in the 3rd semester, preferably Master's) in Information Processing, Computational Linguistics, or a related field, with a focus on text data processing, prompting, document extraction, and generative AI.
• Preferably initial programming skills in Python.
• Practical experience working with transformer-based machine learning models (BERT and similar) as well as large language models.
• Willingness and interest to learn new methods and technologies (e.g., MCP, agentic AI).
• Ability to communicate and collaborate interdisciplinarily within a team.
• Very good English and German skills (C1).

Benefits

• Flexible work environment with a mix of office and remote work.
• Friendly and open company culture with a supportive team.
• Opportunities to learn and grow in the field of marketing technologies.