Nebius Academy 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* Identify outdated practices and recommend updated approaches.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
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.