Werkstudent (m/w/d) – KI-Prototyping & digitale Transformation

📍 Job Overview

Job Title: Werkstudent (m/w/d) – KI-Prototyping & digitale Transformation

Company: August-Wilhelm Scheer Institut

Location: Saarbrücken, Saarland, Germany / Clausthal-Zellerfeld, Lower Saxony, Germany

Job Type: Part-Time (Werkstudierende)

Category: Revenue Operations / Sales Operations / GTM (focus on AI-driven process optimization and digital transformation)

Date Posted: August 18, 2026

Experience Level: Entry-Level (0-2 years)

Remote Status: Hybrid

🚀 Role Summary

• Support the development and prototyping of Artificial Intelligence (AI) and digitalization applications, bridging the gap from initial concept to functional solutions.

• Implement innovative use cases by leveraging cutting-edge technologies including Coding Agents, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and semantic search.

• Integrate diverse AI models, APIs, data sources, and tools to build robust prototypes and applications that drive business process automation and enhance knowledge work.

• Contribute to practical, real-world solutions focused on optimizing business processes, improving knowledge management, and enabling process automation within various organizational contexts.

• Engage in national and regional projects focused on digital transformation, contributing to the strategic advancement of AI-driven initiatives.

📝 Enhancement Note: While the title suggests a general "Werkstudent" role, the detailed responsibilities involving AI prototyping, digital transformation, and process automation indicate a strong leaning towards roles that support Revenue Operations, Sales Operations, or Go-To-Market (GTM) functions by enhancing efficiency and innovation through technology. The focus on turning ideas into functional applications and automating business processes directly aligns with the goals of these operational departments.

📈 Primary Responsibilities

• Spearhead the development of functional prototypes for AI-driven applications, transforming abstract concepts into tangible, working solutions.

• Implement and integrate advanced AI technologies such as LLMs, AI Agents, RAG, and semantic search to create innovative use cases.

• Architect and build integrated systems by connecting various AI models, APIs, data sources, and third-party tools to form cohesive and powerful prototypes.

• Design and develop practical solutions aimed at optimizing core business processes, enhancing knowledge worker productivity, and automating repetitive tasks.

• Actively participate in national and regional projects focused on digital transformation, contributing to the strategic implementation of AI technologies.

• Conduct research and stay abreast of the latest advancements in AI, machine learning, and related technologies to inform prototype development and project strategy.

• Document development processes, prototype functionalities, and integration methodologies to ensure knowledge transfer and maintainable solutions.

• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements for AI-driven solutions.

• Assist in the evaluation and selection of appropriate AI models and tools based on project objectives and technical feasibility.

• Contribute to the continuous improvement of development workflows and best practices within the Digital Transformation Lab team.

📝 Enhancement Note: The responsibilities emphasize hands-on development and integration, which are critical for operations roles focused on implementing efficiency gains. The mention of "process automation" and "knowledge work" directly maps to operational improvements that impact sales, marketing, and customer success.

🎓 Skills & Qualifications

Education: Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Business Informatics, Data Science, Applied Mathematics, or a closely related technical field.

Experience: 0-2 years of experience, preferably gained through internships, academic projects, or previous student worker roles in software development, AI, or digital transformation.

Required Skills:

• Strong enthusiasm for emerging technologies and a proactive approach to learning and applying new concepts.

• Demonstrated ability to understand technical interdependencies and work independently on complex tasks.

• Excellent German language proficiency (minimum C1 level), both written and verbal, for effective communication in a professional environment.

• Good English language skills (minimum B2 level), enabling comprehension and communication in technical contexts.

• Foundational knowledge in Python or another relevant programming language, demonstrating basic coding capabilities.

• Familiarity with the principles of Artificial Intelligence and its applications.

• Basic understanding of software development lifecycle and agile methodologies. Preferred Skills:

• Practical experience with Large Language Models (LLMs), AI Agents, RAG, or semantic search technologies.

• Experience in developing prototypes or proof-of-concepts for AI-driven solutions.

• Familiarity with integrating APIs and connecting various data sources.

• Exposure to process automation techniques and tools.

• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) for AI development.

• Experience with version control systems like Git.

• Understanding of data science principles and data analysis techniques.

📝 Enhancement Note: The requirements are typical for an entry-level role, but the specific mention of AI technologies like LLMs, RAG, and semantic search, along with Python proficiency, suggests a specialization that can be highly valuable in operations roles focused on leveraging AI for efficiency and automation. Candidates with project experience in these areas will stand out.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of academic or personal projects demonstrating practical application of programming skills (e.g., Python scripts, small applications).

• Examples of work involving AI concepts, even if theoretical or basic implementations, such as simple machine learning models or API integrations.

• Documentation of any process automation initiatives undertaken, highlighting the problem, solution, and outcome.

• Evidence of learning and experimentation with new technologies, particularly those related to AI and digitalization.

• Clear articulation of individual contributions in team-based projects. Process Documentation:

• Ability to document technical concepts and development steps clearly and concisely.

• Understanding of how to outline a problem statement, proposed solution, and achieved results for technical projects.

• Familiarity with creating basic workflow diagrams or process maps to illustrate system interactions.

📝 Enhancement Note: For a student worker role, a formal "portfolio" might not be strictly required, but candidates are strongly encouraged to prepare examples of their work, projects, or even well-documented code repositories that demonstrate their technical aptitude and interest in AI and process optimization. This is crucial for showcasing practical skills beyond academic achievements.

💵 Compensation & Benefits

Salary Range:

The salary for a Werkstudent (student worker) in Germany typically ranges from €12 to €15 per hour, depending on the company, industry, and the specific responsibilities of the role. Given the technical nature and focus on AI and digital transformation at the August-Wilhelm Scheer Institut, a rate towards the higher end of this spectrum is expected.

Estimated Hourly Rate: €13 - €15 per hour.

📝 Enhancement Note: This estimate is based on standard rates for student workers in Germany, adjusted for the specialized technical skills and the research-oriented environment of the August-Wilhelm Scheer Institut. Actual compensation may vary based on the candidate's specific qualifications and the institute's internal compensation structure.

Benefits:

• Flexible Working Hours: Adaptable schedules to accommodate study commitments and maximize productivity.

• Mobile Work Options: Opportunities for remote work, offering flexibility in where you work.

• Job Ticket: Support for public transportation, facilitating commute to office locations.

• Corporate Benefits: Access to a range of discounts and offers from partner companies.

• Urban Sports Club Membership: Encourages an active lifestyle with access to various sports facilities.

• Bi-Weekly Fruit Baskets: Provided fresh fruit to promote healthy eating.

• Innovative Work Environment: Exposure to cutting-edge AI technologies and digital transformation projects.

• Professional Development: Opportunities for learning and growth in a research-focused institution.

• Team Spirit: Collaborative and supportive work atmosphere with motivated colleagues.

Working Hours:

The role is part-time, typical for a "Werkstudent" position, allowing students to balance work with their studies. Standard working hours are often around 15-20 hours per week, with flexibility to adjust based on academic schedules and project needs. The total working hours are typically capped at 20 hours per week during the semester to comply with student work regulations.

📝 Enhancement Note: The hybrid work arrangement and flexible hours are significant benefits for students, allowing them to integrate work experience seamlessly with their academic pursuits and manage their time effectively.

🎯 Team & Company Context

🏢 Company Culture

Industry: Research & Development, Information Technology, Digital Transformation Consulting. The August-Wilhelm Scheer Institut operates at the intersection of academic research and practical application, focusing on developing future digital innovations and business models. This environment fosters a culture of continuous learning and cutting-edge problem-solving.

Company Size: The company is likely medium-sized, given its operational scope across multiple locations and its focus on specialized research and development projects. This size often allows for a balance between structured processes and a more agile, hands-on approach.

Founded: The August-Wilhelm Scheer Institut has a history rooted in research and innovation, suggesting a culture that values deep technical expertise, forward-thinking strategies, and collaborative problem-solving. The exact founding date is not specified, but its mission of bringing research to the street implies a mature yet dynamic organization.

Team Structure:

• Digital Transformation Lab: This specific team is focused on AI prototyping and digital transformation, indicating a group of highly technical individuals, researchers, and developers.

• Interdisciplinary Collaboration: The institute emphasizes bringing together individuals from diverse backgrounds, suggesting that the operations team likely collaborates closely with researchers, engineers, and potentially business analysts.

• Reporting Structure: As a "Werkstudent," the role likely reports to a senior researcher, project lead, or team manager within the Digital Transformation Lab, who will provide guidance and oversight.

Methodology:

• Research-Driven Innovation: Projects are likely informed by the latest academic research, with a strong emphasis on innovation and developing novel solutions.

• Agile Development: Prototyping and iterative development are key, suggesting an agile approach to project execution.

• Hands-on Prototyping: The core methodology involves translating ideas into functional prototypes using modern AI tools and technologies.

• User-Centric Design: Solutions are developed in close collaboration with users, ensuring practical applicability and real-world impact.

Company Website: https://www.aws-institut.de/ (Inferred from domain_derived)

📝 Enhancement Note: The company culture emphasizes innovation, interdisciplinary work, and practical application of research, which is ideal for a student looking to gain hands-on experience in a cutting-edge field that directly impacts business operations.

📈 Career & Growth Analysis

Operations Career Level: This is an entry-level "Werkstudent" (student worker) position, designed for individuals currently pursuing their academic studies. It offers foundational experience in AI prototyping and digital transformation, providing a stepping stone into operational or technical roles within technology-focused organizations.

Reporting Structure: The student worker will likely report to a senior team member, such as a project manager, lead developer, or research scientist within the Digital Transformation Lab. This structure allows for direct mentorship and guidance on technical tasks and project execution.

Operations Impact: While not directly managing operational processes, this role contributes to operational efficiency and innovation by developing AI tools and prototypes. These tools can automate tasks, improve decision-making, and enhance knowledge management, thereby indirectly impacting the efficiency and effectiveness of Sales Operations, Revenue Operations, and broader GTM strategies. The focus on digital transformation means contributing to the modernization of business processes.

Growth Opportunities:

• Technical Skill Development: Deepen expertise in AI technologies like LLMs, AI Agents, RAG, and semantic search through practical application and mentorship.

• Prototyping & Development Experience: Gain hands-on experience in the full lifecycle of prototype development, from concept to functional application.

• Industry Exposure: Work on real-world projects addressing national and regional digitalization challenges, providing valuable industry insights.

• Networking: Build connections with researchers, developers, and industry professionals within the August-Wilhelm Scheer Institut.

• Potential for Future Roles: Successful performance may lead to opportunities for further internships, thesis projects, or even entry-level positions within the institute or its partner organizations.

📝 Enhancement Note: This role is primarily a learning opportunity. The growth lies in acquiring practical technical skills and understanding how AI can be applied to solve business problems, which is a direct pathway into specialized operations roles that leverage technology.

🌐 Work Environment

Office Type: The August-Wilhelm Scheer Institut likely offers a hybrid work environment, combining office-based collaboration with remote work flexibility. This allows for focused individual work and team-based project sessions.

Office Location(s):

• Saarbrücken, Saarland, Germany: A primary research hub, likely featuring modern facilities for development and collaboration.

• Clausthal-Zellerfeld, Lower Saxony, Germany: Another key location, potentially with a focus on specific research areas or collaborations.

Workspace Context:

• Collaborative Spaces: The institute likely provides modern office spaces designed to foster teamwork, brainstorming, and knowledge sharing among researchers and developers.

• Access to Technology: Expect access to necessary development tools, high-performance computing resources (potentially for AI model training/testing), and collaboration software.

• Research-Oriented Atmosphere: The environment is geared towards innovation, learning, and problem-solving, encouraging intellectual curiosity and technical exploration.

Work Schedule:

The "Werkstudent" role operates on a part-time basis, with flexible hours that can be adapted to the student's academic schedule. This flexibility ensures that work commitments do not impede academic progress while still providing substantial work experience. The typical limit is 20 hours per week during the semester.

📝 Enhancement Note: The hybrid nature and flexible hours are key aspects of the work environment, catering to the needs of students while ensuring active participation in projects. The two distinct locations suggest opportunities for exposure to different research focuses or teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of the application, CV, and any supplementary documents to assess academic background and basic technical skills.

• Technical Interview(s):

  • Discussion of academic projects, programming experience (especially Python), and understanding of AI concepts.
  • Potential for a short coding exercise or a discussion about a technical problem.
  • Questions about familiarity with AI technologies like LLMs, RAG, AI Agents, or semantic search.
  • Assessment of German and English language proficiency.

• Team/Cultural Fit Interview: An opportunity to meet potential team members or a project lead to discuss motivation, working style, and fit with the institute's innovative culture.

• Offer: If successful, an offer for the "Werkstudent" position will be extended.

Portfolio Review Tips:

• Highlight Relevant Projects: Focus on academic projects, personal coding endeavors, or any past internships that involved programming, AI, or process-related tasks.

• Showcase Technical Skills: Be prepared to discuss your proficiency in Python or other relevant languages, and explain any specific AI tools or concepts you've worked with.

• Demonstrate Problem-Solving: Articulate how you approached technical challenges in your projects and what solutions you developed.

• Explain Your Motivation: Clearly express your interest in AI, digital transformation, and the August-Wilhelm Scheer Institut's work.

• Prepare for Questions: Anticipate questions about your understanding of AI technologies and their potential applications in business.

Challenge Preparation:

• Coding Fundamentals: Brush up on core programming concepts, especially in Python.

• AI Concepts: Review basic AI principles, machine learning concepts, and be ready to discuss the applications of LLMs, AI Agents, RAG, and semantic search.

• Digital Transformation: Understand the general goals and methodologies of digital transformation in a business context.

• Communication: Practice articulating technical ideas clearly and concisely in both German and English.

📝 Enhancement Note: For a student role, the emphasis will be on potential, foundational knowledge, and enthusiasm rather than extensive experience. A well-prepared candidate who can demonstrate a genuine interest and basic aptitude in the required technical areas will have a strong advantage.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python (highly preferred), potentially others like Java, C++, JavaScript.

• AI Frameworks & Libraries: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, LangChain, LlamaIndex.

• Development Tools: IDEs (e.g., VS Code, PyCharm), Git for version control.

• AI Technologies: Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Semantic Search.

• Coding Agents: Tools that assist in code generation and development.

Analytics & Reporting:

• Data Analysis Libraries: Pandas, NumPy (for Python).

• Visualization Tools: Matplotlib, Seaborn, potentially BI tools if integrated into projects.

CRM & Automation:

• While not directly a CRM role, understanding process automation is key. Tools might include workflow automation platforms or custom scripts for process optimization tasks. Integration platforms might also be relevant if connecting different AI services.

📝 Enhancement Note: Proficiency or familiarity with Python and key AI libraries/frameworks is crucial. The mention of specific AI technologies like LLMs, RAG, and AI Agents indicates the core tech stack the student will be working with.

👥 Team Culture & Values

Operations Values:

• Innovation & Curiosity: A drive to explore new technologies and develop novel solutions for digital challenges.

• Collaboration: Emphasis on teamwork and interdisciplinary cooperation to achieve shared goals.

• Impact & Practicality: A focus on creating real-world applications and tangible results that bridge research and practice.

• Continuous Learning: A commitment to staying updated with the fast-paced advancements in AI and digital transformation.

• Quality & Precision: Dedication to developing robust and functional prototypes, with attention to detail in coding and integration.

Collaboration Style:

• Interdisciplinary: Working alongside individuals from diverse technical and research backgrounds.

• Mentorship-Driven: Expect guidance and support from more experienced team members.

• Agile & Iterative: A dynamic approach to project work, involving frequent feedback and adjustments.

• Knowledge Sharing: An environment that encourages the exchange of ideas and best practices.

📝 Enhancement Note: The institute values a proactive, collaborative, and intellectually curious mindset. Candidates should demonstrate an eagerness to learn and contribute to a team focused on cutting-edge technological development.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Technological Evolution: Keeping pace with the constantly changing landscape of AI technologies and tools.

• Translating Research into Practice: Bridging the gap between theoretical AI concepts and practical, functional prototypes for business applications.

• Integration Complexity: Managing the integration of various AI models, APIs, and data sources into cohesive systems.

• Defining Project Scope: Clearly defining objectives and deliverables for AI prototyping projects, especially for student work.

Learning & Development Opportunities:

• Specialized AI Training: Hands-on experience with state-of-the-art AI tools and techniques.

• Project Management Fundamentals: Exposure to project execution methodologies in a research and development context.

• Technical Documentation Skills: Developing proficiency in documenting technical processes and findings.

• Networking: Building a professional network within the AI and digital transformation sectors.

📝 Enhancement Note: This role presents an excellent opportunity to tackle challenging, cutting-edge technical problems in AI and digital transformation, providing significant learning and development in a supportive environment.

💡 Interview Preparation

Strategy Questions:

• "Describe a technical project you've worked on (academic or personal) that involved programming. What was the challenge, and how did you approach it?" (Focus on Python or AI-related projects).

• "How do you stay updated with the latest developments in Artificial Intelligence?" (Demonstrate proactivity and interest).

• "What interests you most about AI prototyping and digital transformation?" (Connect your passion to the role's objectives).

• "Can you explain the basic concept of an LLM or AI Agent and how it might be used in a business process?" (Assess understanding of core AI technologies).

• "Describe a situation where you had to work independently to solve a technical problem." (Highlight self-reliance and problem-solving skills). Company & Culture Questions:

• "What do you know about the August-Wilhelm Scheer Institut and its work in digital innovation?" (Show you've researched the company).

• "How do you think this Werkstudent role aligns with your academic studies and career aspirations?" (Demonstrate thoughtful consideration).

• "Describe your preferred working style within a team." (Assess collaboration and communication preferences).

• "How do you handle constructive feedback on your work?" (Indicate openness to learning and improvement). Portfolio Presentation Strategy:

• Select Key Projects: Choose 2-3 projects that best showcase your programming skills (especially

Python), any AI exposure, and your problem-solving abilities.

• Structure Your Narrative: For each project, clearly explain:

  • Problem: What was the challenge or goal?
  • Your Role: What was your specific contribution?
  • Technology Used: What tools, languages, or AI concepts did you employ?
  • Solution/Outcome: What did you build or achieve? What were the results?

• Be Ready to Discuss Code: If you have code repositories (e.g., GitHub), be prepared to walk through relevant parts or discuss your coding approach.

• Focus on Learning: Emphasize what you learned from each project, especially any new technologies or techniques you explored.

📝 Enhancement Note: Prepare to discuss your technical skills and projects in detail, demonstrating both your foundational knowledge and your enthusiasm for AI and digital transformation. Be ready to articulate your learning process and how you approach challenges.

📌 Application Steps

To apply for this operations-focused student position:

• Submit your application: Apply through the provided link on the August-Wilhelm Scheer Institut's careers page.

• Tailor your CV: Highlight relevant coursework, programming skills (especially Python), any AI-related projects or knowledge, and your academic achievements. Emphasize your German and English language proficiency.

• Prepare a concise cover letter: Express your genuine interest in AI prototyping, digital transformation, and the August-Wilhelm Scheer Institut. Clearly state your motivation for seeking this "Werkstudent" role and how it aligns with your studies and career goals.

• Curate your project examples: Gather details or links to any relevant academic projects, personal coding projects, or GitHub repositories that showcase your technical capabilities. Be ready to discuss them thoroughly during an interview.

• Research the Institute: Familiarize yourself with the August-Wilhelm Scheer Institut's mission, research areas, and recent projects related to AI and digital transformation.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.