AI Strategy Advisor for Business Programs (B2B)

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• Identify outdated practices and recommend updated approaches.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

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.