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

Cornell University • Ithaca, MI

2d • 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 AI-powered solutions through hands-on Python work.

Facilitators lead live discussions on machine learning, natural language processing, large language models, and AI application and agent design. They provide personalized written and recorded-video feedback on discussions, assignments, coding projects, and written analyses, and coach learners as they troubleshoot code and apply AI/ML techniques, architectural trade-offs, and responsible AI practices in business and technical contexts. The role also includes managing online discussions, responding to student inquiries, tracking progress, and fostering an interactive online learning experience.

The commitment is to facilitate at least one to two courses per month, with consistent preparation and engagement. Facilitators complete onboarding and training that includes shadowing live courses, debrief sessions, and learning the assigned certificate program. They also participate in ongoing training and professional development. The position is remote and open to applicants located anywhere in the United States; it is based in Ithaca, New York. It is a casual, non-benefits-eligible position. Employment visa sponsorship and relocation assistance are unavailable.

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 track 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 student code in Jupyter notebooks.
• Hands-on experience with relevant 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 mathematical foundations of 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.
• Submit a cover letter with the application materials; a Loom video response is highly encouraged and the posting also lists a Loom video submission with the application.
• Must be located in the United States; the role is open to candidates anywhere in the U.S.
• Must meet New York State individual tax reporting and withholding requirements for this position; additional state income tax filings may apply when working temporarily outside New York State.

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.
• Senior technical, architectural, or leadership experience 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, 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 moving AI solutions from prototype to deployment.
• Experience teaching, coaching, or mentoring technical professionals.

Responsibilities

• Lead engaging live discussions that encourage interaction and deepen students’ understanding of machine learning, NLP, LLMs, and AI-powered applications and agents.
• Provide clear, constructive, and personalized written and recorded-video feedback on discussion boards, assignments, Python coding projects, and written analyses.
• Coach learners as they troubleshoot code and connect AI/ML methods, architectural trade-offs, and responsible AI practices to real-world settings.
• Manage online discussions, respond promptly to student inquiries, and track student progress.
• Facilitate at least one to two courses per month, with consistent preparation and engagement.
• 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.
• Foster meaningful connections and an engaging, interactive online experience for students.

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: Mid Level
• Education Level: No Education Listed