Details
Posted: 31-May-26
Location: Ithaca, New York
Type: Full-time
Internal Number: 3-106855
Part-Time Online Course Facilitator Applied Machine Learning & Generative AI (Remote)
Department Summary
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. To be considered for this position, please include a cover letter with your application materials.
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.
Cover letter instructions [IMPORTANT]
As part of the Course Facilitator position at eCornell, video interaction with students is a key component of the role. Facilitators are expected to engage with students through live video sessions and in response to project submissions. Video interactions allow facilitators to better engage with students, provide real-time feedback, and create an inclusive and personable learning experience.
As such, we encourage applicants to submit a video response to the question below using Loom. While submitting the video is optional, it is highly encouraged.
- Answer the following question in a short video (3 minutes max):
What excites you most about facilitating at eCornell, and how would you bring that enthusiasm into your interactions with students?
Program-Specific Focus
We are currently seeking facilitators to support certificate programs across three primary focus areas. Candidates may be matched to one or more areas based on expertise.
The ideal candidate has 3+ years of professional experience in one or more of the following areas, with the ability to explain these concepts to working professionals:
- AI Implementation and Strategy: Real-world experience in evaluating AI opportunities, designing AI-powered solutions, and understanding the strategic implications of AI adoption in business contexts
- Agentic AI and Advanced Systems: Hands-on knowledge of AI agents, retrieval-augmented generation (RAG), and emerging AI architectures, including understanding of AI workflow automation and integration
- Machine Learning Fundamentals: Deep understanding of supervised and unsupervised learning algorithms, including k-nearest neighbors, decision trees, linear regression, logistic regression, and ensemble methods
- Generative AI and Large Language Models: Hands-on experience with prompt engineering, AI chatbot development, and practical applications of generative AI tools like ChatGPT, including understanding of their capabilities, limitations, and ethical implications
- AI Ethics and Governance: Understanding of bias detection, algorithmic fairness, data privacy considerations, and responsible AI practices, particularly in enterprise settings
Key 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.
Required 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.
- 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
Preferred Qualifications:
- 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.
**Sponsorship for employment visa is not available for this position**
What We Offer:
- 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.
Additional Information
- This position is based in Ithaca, New York, however, the successful applicant may perform this role remotely anywhere within the United States. The New York Convenience of employer guidelines require New York State individual tax reporting and withholdings for this position. Additional individual state income tax filings may also be required if working temporarily outside New York State.
Important Notes:
- eCornell will not store or download your video; it remains on your personal Loom account.
- Video submissions are assessed solely based on communication, clarity, and engagement--not on personal characteristics unrelated to job performance.
We look forward to learning more about you!
- Location: These positions are remote and open to candidates located anywhere within the U.S.
- Employment Type: Casual, non-benefits-eligible positions.
- Restrictions: No visa sponsorship or relocation assistance is available for these positions.
Join Us
If you're passionate about applied machine learning, generative AI, and large language models--and about helping professionals use these tools thoughtfully and effectively--we'd love to hear from you. Apply today and become an integral part of the eCornell team!
University Job Title:
e-Cornell Course Facilitator
Job Family:
Temporary Teaching
Level:
No Grade - Annual
Pay Rate Type:
Salary
Pay Range:
Refer to Posting Language
Remote Option Availability:
Remote
Company:
Contact Name:
Tracy Faunce
Contact Email:
tlf56@cornell.edu
Job Titles and Pay Ranges:
Non-Union Positions
Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:
Union Positions
Current Employees:
Online Submission Guidelines:
Employment Assistance:
Notice to Applicants:
EEO Statement:
Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
2026-05-29
