Part-Time Online Course Facilitator: AI/ML Technology and Architecture

Cornell University • Ithaca, NY

1d • Remote

About The Position

eCornell is seeking experienced professionals to facilitate its AI/ML Technology and Architecture certificate programs. Facilitators support the delivery of content created by Cornell faculty; they are not course authors or adjunct faculty. The programs help working professionals move from using AI to building with it through hands-on Python work covering applied machine learning, natural language processing, large language models, AI-powered applications and agents, and AI strategy and governance.

Facilitators complement asynchronous course content by leading live online discussions, providing personalized written and recorded-video feedback, coaching learners through code and technical challenges, and fostering an interactive student experience. The role requires consistent engagement and preparation for at least one to two courses per month. Facilitators complete in-depth onboarding, including shadowing live courses and participating in debrief sessions, and take part in ongoing training and professional development.

The position is remote and open to candidates anywhere in the United States. It is a casual, non-benefits-eligible position. Employment visa sponsorship and relocation assistance are not available. The role requires New York State individual tax reporting and withholdings under New York Convenience of employer guidelines; additional state income tax filings may be required when working temporarily outside New York State.

Requirements

• At least 8 years of relevant professional experience, or an equivalent combination of education and experience.
• Substantial professional experience as a data scientist, machine learning engineer, NLP engineer, AI engineer, or AI/software architect, with a record of building and deploying ML or AI solutions that deliver business value.
• Proficiency in Python and the ability to quickly read, debug, and evaluate students’ code in Jupyter notebooks.
• Hands-on experience with program tools such as NumPy, pandas, scikit-learn, NLTK or spaCy, Hugging Face Transformers or PyTorch, commercial LLM APIs, and frameworks such as LangChain, LangGraph, or the OpenAI Agents SDK.
• Ability to explain the mathematics underlying ML models, including probability and statistics, linear algebra, and gradient-based optimization.
• Ability to explain complex technical concepts clearly to professionals with varied technical backgrounds and use relevant industry examples.
• Comfort facilitating live online discussions and providing timely, impactful feedback to busy professionals.
• Exceptional written and verbal communication skills.
• Comfort using technology for instruction.
• Include a cover letter with the application materials.
• No employment visa sponsorship is available.

Nice To Haves

• Graduate degree in computer science, data science, statistics, information science, or a related field.
• At least 15 years of progressive experience in data science, machine learning, NLP, AI engineering, or software and solutions architecture.
• Experience in senior technical, architectural, or leadership roles designing, deploying, or scaling production ML, NLP, or generative AI systems, including architecture, model-selection, and build-versus-buy decisions.
• Hands-on experience fine-tuning LLMs, such as with LoRA or DPO; working with open models from the Hugging Face Hub; building Model Context Protocol servers; or developing autonomous and multi-agent systems.
• Experience with SQL, relational databases, and deep-learning frameworks such as TensorFlow/Keras or PyTorch.
• Experience leading cross-functional teams and firsthand experience with AI opportunity assessment, AI governance and risk management, production model evaluation, and the trade-offs involved in taking AI solutions from prototype to deployment.
• Experience teaching, coaching, or mentoring technical professionals.
• Optional Loom video response (three minutes maximum) addressing what excites the applicant about facilitating at eCornell and how they would bring that enthusiasm to student interactions; the video link may be included in the cover letter.

Responsibilities

• Lead engaging live online discussions about machine learning, natural language processing, large language models, and AI-powered applications and agents.
• Provide clear, constructive, personalized feedback on discussion boards, assignments, Python coding projects in Jupyter notebooks, and written analyses, including through recorded video responses.
• Coach learners as they troubleshoot code and connect AI/ML techniques, architectural trade-offs, and responsible AI practices to real-world business and technical settings.
• Foster meaningful connections with students in an interactive online learning environment.
• Manage online discussions, respond promptly to student inquiries, and track student progress.
• Facilitate at least one to two courses per month with consistent engagement and preparation.
• Complete onboarding and training, including shadowing live courses, participating in debrief sessions, and mastering the assigned certificate program.
• Participate in ongoing training and professional development to stay current with learning methodologies, educational technologies, and online facilitation practices.

Benefits

• Comprehensive onboarding and training program.
• 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: Senior
• Education Level: No Education Listed