Company: Stackfuel
Country: Worldwide
Type: Onsite
Employment: Intern
Description: Job description Structured transfer and formatting of learning content into our learning platform Identification and correction of bugs as well as technical and didactic potential for improvement Technical translation and localization of content (DE/EN) in the areas of data, AI and engineering Independent training and research for new subject areas to further develop our training offering Participation in the standardization of production processes and templates Ongoing studies (ideally computer science, data science, mathematics, statistics, business informatics, etc.) High affinity for current AI tools such as Claude, Chat GPT or Gemini Basic knowledge of Python and/or SQL as well as analytical thinking skills are desirable Affinity to current AI topics and a basic understanding/orientation in the field of generative AI Strong interest in data, AI and digital further training Very structured, detail-oriented and responsible way of working Ability to quickly and independently familiarize yourself with new topics Very good knowledge of German (C2) and very good knowledge of English (at least C1) Motivation to take responsibility and actively contribute to product quality This is what we offer you Work culture Find more English Speaking Jobs in Germany on Arbeitnow
As a working student in Learning Design, Content & Product (f/m/d), you will support our learning team in the creation, quality assurance and further development of practice-oriented online training courses in the area of data, AI & engineering.
You will work in a structured, detail-oriented manner and with high quality standards to ensure technical learning content to be transferred cleanly and didactically consistently into our learning platform. You will take responsibility for clearly defined task packages at an early stage and actively contribute to the continuous improvement of our training products.
Focuses of your role:
Didactic and technical quality assurance new training modules (coding tasks, quizzes, videos)
This is what you bring with you
You can expect a solution-oriented and data-driven way of working, an open feedback culture and a strong team spirit. Two trustees elected by the entire StackFuel team will support you with questions and concerns as a neutral, confidential contact point.
Ownership
Take responsibility from day one, actively contribute your own ideas, shape processes sustainably and have a significant influence on our processes.
Hybrid working
We work in a hybrid model and are usually on site in our office 3 days a week Berlin.
Workation
You can work for up to 10 days per year from anywhere in the EU, the EEA and Turkey.
Room for exchange
Regular exchange in the team, seasonal celebrations and a kitchen that is always well-stocked ensure a lively cooperation.
Further development
Complete our online training to hone your professional skills and develop yourself into an expert for data and AI.
Apply here:
Web: Apply here
Emails:
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