Part-Time Online Course Facilitator Applied Machine Learning & Generative AI (Remote)

Cornell University • Ithaca, NY

7h • Remote

About The Position

eCornell delivers expertly crafted online certificate programs designed by Cornell University faculty. Our facilitators play a central role in creating dynamic, engaging, and highly interactive learning experiences. We are committed to providing an exceptional student experience through live interactions, meaningful feedback, and authentic engagement. The Opportunity 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.

Requirements

• 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
• Machine learning: Experience with core ML techniques: supervised and unsupervised learning, feature engineering, model evaluation/validation, and deployment concepts. Comfortable reviewing and debugging ML-related code submitted by learners. Familiarity with common ML libraries: scikit-learn , pandas/numpy , matplotlib/seaborn .
• Generative AI / LLM: Practical experience using or integrating LLMs (e.g., OpenAI, Anthropic, Azure/OpenAI, or open-source models). Experience designing prompts, evaluating LLM outputs, and using LLMs in real workflows (analysis, content generation, coding assistance, etc.). Experience building or supporting AI-powered products or internal tools that leverage LLMs or other generative models.
• Agentic AI Experience architecting, building, deploying, and managing RAG / agentic AI solutions
• Knowledge of neural networks and transformers; experience managing AI hallucination
• Experience managing the ethical and legal implications of AI use
• AI Strategy and Implementation Business-minded experience with AI and digital technologies, including how AI and digital technologies will underlie new business models enabled by technology and define the future of work
• Knowledge of the skills required by the workforce to fully leverage AI solutions; experience developing those skills
• Experience pivoting an organization to leverage AI in the course of day-to-day business
• Experience building a data-driven team that uses data to strategically improve business operations

Nice To Haves

• Leadership or strategy advisory experience (e.g., guiding AI adoption, leading data/AI teams, or driving analytics initiatives).
• Advanced experience in at least one focus area (Business Impact, Solution Design, or Advanced Engineering) such as: Leading AI transformation initiatives or building AI roadmaps. Architecting and deploying LLM-powered solutions (e.g., RAG, agents, workflow automation). Advanced ML/LLM engineering, including experimentation, optimization, and model evaluation.
• Relevant certifications, such as: Google Professional Machine Learning Engineer AWS Machine Learning Specialty Azure AI Engineer or Data Scientist Associate Recognized ML/AI or generative AI specializations (DataCamp, Coursera, edX, etc.) IBM Machine Learning Professional Certificate TensorFlow Developer Certificate
• Previous experience in online instruction or facilitation, particularly with technical or AI-focused content.

Responsibilities

• Lead dynamic live discussions that foster interaction and deepen understanding.
• Deliver clear, constructive, and authentic feedback on student submissions, including recorded video responses.
• Manage online discussions, respond promptly to student inquiries, and track student progress.
• Facilitate a minimum of 1-2 courses per month with consistent engagement and preparation.
• Complete an in-depth onboarding program, including shadowing live courses, participating in debrief sessions, and mastering the assigned certificate program.
• Engage in ongoing training and professional development to stay current with emerging learning methodologies, educational technologies, and best practices in online facilitation.

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.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level