[Hiring] Online Course Facilitator Applied Machine Learning & Generative AI @Cornell University

Role Description

We are seeking experienced professionals to join our team as Course Facilitators in our Applied Machine Learning and AI portfolio, with a strong emphasis on generative AI and large language models (LLMs). Facilitators are not course authors or adjunct faculty but are vital to ensuring the effective delivery of content created by Cornell faculty.

In this role, you will complement our asynchronous course content by:

• Leading engaging live sessions that engage students in discussion of AI/ML/LLM-related topics.
• Providing personalized and constructive feedback (written and recorded video) on coding assignments, solution designs, and applied AI projects.
• Coaching learners on responsible, effective use of AI tools (including LLM-based systems) in real-world business and technical settings.
• Fostering meaningful connections with students in a highly interactive online environment.

Qualifications

• Relevant graduate degree and 3+ years of relevant professional experience, or an equivalent combination of education and experience.
• Exceptional communication skills, both written and verbal.
• Ability to deliver authentic, concise, and impactful feedback to busy professionals.
• Proficiency with online learning tools (e.g., Canvas, Zoom) and comfort with technology for instruction.
• Loom video submission with application.
• Expertise in one of the following:
• Machine learning: Experience with core ML techniques: supervised and unsupervised learning, feature engineering, model evaluation/validation, and deployment concepts.
• Generative AI / LLM: Practical experience using or integrating LLMs (e.g., OpenAI, Anthropic, Azure/OpenAI, or open-source models).
• Agentic AI: Experience architecting, building, deploying, and managing RAG / agentic AI solutions.
• AI Strategy and Implementation: Business-minded experience with AI and digital technologies.

Requirements

• Hands-on knowledge of AI agents, retrieval-augmented generation (RAG), and emerging AI architectures.
• Deep understanding of supervised and unsupervised learning algorithms.
• Hands-on experience with prompt engineering, AI chatbot development, and practical applications of generative AI tools.
• Understanding of bias detection, algorithmic fairness, data privacy considerations, and responsible AI practices.

Benefits

• Comprehensive onboarding and training program to set you up for success.
• Access to ongoing professional development resources and periodic training updates.
• Opportunities to contribute to an exceptional online student experience.
• A collaborative and supportive facilitator community.