AI Strategy Advisor for Business Programs (B2B)

Nebius Academy (https://academy.nebius.com/) is a global AI education platform dedicated to empowering individuals and organizations to master AI and cloud technologies. We combine deep technical expertise with a vision for AI-powered education, supporting both individuals aiming to upskill for new career paths and companies pursuing innovation at scale. We are looking for a technically strong and business-oriented AI expert to support the strategic development of our AI for Business programs. This is a technical and strategic advisory position focused on reviewing content, ensuring technical accuracy, and aligning our programs with how AI actually works and delivers measurable business results. You will act as a bridge between fast-evolving AI technologies and real-world business application. What you will do: Your role is to ensure that our AI programs are not superficial or tool-hyped, but grounded in how modern AI systems actually function and how they create value. That includes: • Review modules and frameworks for technical robustness. • Validate explanations of LLMs, agents, automation, and AI workflows. • Identify outdated practices and recommend updated approaches. • Advise on how emerging AI capabilities should reshape business use cases. • Provide feedback on implementation examples and ROI logic. • Help translate AI mechanisms into clear business impact narratives. What we can offer you: • Pay Rate: $80/hr. - $100/hr. (gross). • Remote, hourly collaboration. • Free in-house training on educational best practices. • Opportunities to build your profile as a recognized public expert in AI strategy. • Cross-cultural work environment and extensive networking opportunities with passionate, mission-driven teammates. We're excited to get to know you and work together! Brand: Nebius Academy Requirements Technical expertise: 1. Strong understanding of how modern AI systems work under the hood, including: • Large Language Models (LLMs) and transformer architectures • Context windows, tokenization, inference limitations • Retrieval-Augmented Generation (RAG) • Embeddings and vector search • API-based integrations • Agents and orchestration patterns • Model evaluation and output validation 2. Familiarity with leading AI ecosystems (OpenAI, Anthropic, Google, open-weight models) and their comparative strengths and limitations. 3. Ability to distinguish between: • Core model capabilities • Product wrappers and SaaS layers • Marketing hype vs actual technical progress 4. Strong awareness of current AI updates and releases, with the ability to assess their practical significance. Business application experience: 1. Experience applying AI in real business environments (product, operations, marketing, analytics, automation, or consulting). 2. Understanding of: • AI adoption and implementation strategy • Workflow redesign (automation vs augmentation) • ROI estimation and value creation • Operational efficiency gains • Governance and responsible AI usage 3. Ability to connect technical AI decisions with measurable business outcomes. What makes an ideal candidate: • Thinks in systems, not just tools. • Understands both AI mechanics and business implications. • Follows AI developments closely and evaluates them critically. • Comfortable challenging assumptions and identifying weak logic. • Not vendor-biased — compares models objectively. • Prioritizes depth and realism over hype. Find Jobs in Germany (https://www.arbeitnow.com/) on Arbeitnow