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Cornell University · 1 month ago

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

United States

Full-time, Part-time

Remote

Senior Level

5+ years exp

Cornell University is seeking experienced professionals to join their team as Course Facilitators for their Applied Machine Learning and AI certificate programs. The role involves leading live sessions, providing feedback on assignments, and coaching learners on the effective use of AI tools in various settings.

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Growth Opportunities

No H1B

Responsibilities

Engage Students: Lead dynamic live discussions that foster interaction and deepen understanding

Provide Feedback: Deliver clear, constructive, and authentic feedback on student submissions, including recorded video responses

Facilitate Effectively: Manage online discussions, respond promptly to student inquiries, and track student progress

Commitment: Facilitate a minimum of 1-2 courses per month with consistent engagement and preparation

Onboarding and Training: Complete an in-depth onboarding program, including shadowing live courses, participating in debrief sessions, and mastering the assigned certificate program

Continuous Improvement: Engage in ongoing training and professional development to stay current with emerging learning methodologies, educational technologies, and best practices in online facilitation

Qualification

PythonMachine LearningGenerative AILLM ExperienceJupyter NotebooksGit/GitHubML LibrariesOnline Learning ToolsCommunication SkillsFeedback Delivery

Required

Relevant graduate degree and 5+ years of relevant professional experience, or an equivalent combination of education and experience

Strong proficiency in Python

Familiarity with Jupyter notebooks and Git/GitHub

Comfortable reviewing and debugging ML-related code submitted by learners

Experience with core ML techniques: supervised and unsupervised learning, feature engineering, model evaluation/validation, and deployment concepts

Familiarity with common ML libraries: scikit-learn, pandas/numpy, matplotlib/seaborn

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

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

Preferred

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