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  • TripleTen

    Berlin

    • 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    • Identify outdated practices and recommend updated approaches.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.

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