AI Expert & Instructional Designer
Bots and People Product GmbH · Berlin · Remote
- Employment typeContract
- Experience levelMid level
- Salary signalSalary not listed
- Last checked2 hours ago
- Source valid throughNov 18, 2026
Role Overview
About us Bots & People designs and delivers enterprise AI upskilling programmes for large organisations across Europe, including Daimler Truck, Deutsche Telekom, Siemens Energy and Audi. The company has trained more than 80000 employees across over 30 enterprise clients. The role This role involves both designing enterprise learning programmes and delivering them as the expert in the room. It is a senior individual contributor role requiring independent professional judgement across programme architecture, client consultancy and live delivery. What you’ll do Facilitation Deliver live training, workshops, hackathons and coaching sessions for enterprise audiences , from small leadership groups to sessions with up to 100 participants, in German and in English Facilitate our signature formats , and adapt them live to the room Handle technical questions on AI tooling in the moment , at a level that holds up with technical participants Run dry-runs and debriefs, and feed what you learn in delivery back into the design Learning design Design blended learning programmes and multi-month learning journeys for enterprise clients: impact goals, learning objectives, module structure, session sequencing and learning transfer tasks Decide the pedagogical approach, format and instructional method for each engagement, based on the client’s maturity, audience and business goals Develop course content, exercises, facilitator guides and learner materials , and keep the existing course library current as the AI landscape moves Client work and AI expertise Lead scoping and diagnostic conversations with L&D leads, heads of function and senior stakeholders, and challenge the brief where it won’t achieve the stated outcome Contribute to proposals and pre-sales conversations : scoping, feasibility, effort estimation Maintain current, hands-on expertise across the generative AI landscape , with particular depth in the Microsoft ecosystem, including Copilot, M365 and Power Platform (but not exclusively) Act as a reference point on learning design and AI capability for our freelance trainers, including onboarding and reviewing their sessions What you bring Several years of instructional design or L&D experience in which you owned programme architecture end to end, ideally for corporate audiences Proven experience facilitating live training for enterprise audiences , including senior and technical participants Practitioner-level expertise with generative AI tools : you build, troubleshoot and teach with them, not just follow the news The ability to make complex technical material accessible to non-technical audiences Experience with large enterprise clients and their stakeholder environments German at completely fluent level (C2). You will design and facilitate in German for German clients English at C1 or above. Our company language is English: team communication, internal documentation and all interviews are in English, and you will facilitate in English too Based in Germany An advantage: working knowledge of the Microsoft ecosystem (Copilot, M365, Power Platform) What we offer Fully remote work within Germany , with occasional travel for client delivery and team meetings Quarterly team on-sites 30 vacation days per year Urban Sports membership A small, fast team where what you build is used by thousands of learners within week All interviews are in English. We aim to complete the process within 4 weeks of your application. Apply Send us your CV and, if you have one, an example of a learning programme or session you designed/facilitated. A long cover letter is not needed; a few lines on why this role is interesting to you are. Find more English Speaking Jobs in Germany on Arbeitnow
Why It Matches
This contract role is listed as remote in Berlin. The source does not expose a salary range, so confirm compensation before investing in a long application. The match score reflects role clarity, work mode, location, freshness, salary visibility, and description depth—not a promise that the employer will select a candidate.
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