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 AI/ML Technology and Architecture portfolio. 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 machine learning, natural language processing, large language models (LLMs), and the design of AI-powered applications and agents. Providing personalized and constructive feedback (written and recorded video) on discussion boards, assignments, Python coding projects in Jupyter notebooks, and written analyses, such as model training and evaluation, text-analysis pipelines, LLM fine-tuning, retrieval-augmented generation (RAG) systems, AI agents, and AI opportunity and governance assessments. Coaching learners to troubleshoot their code and connect AI/ML techniques, architectural trade-offs, and responsible AI practices to real-world business and technical settings. Fostering meaningful connections with students in a highly interactive online environment. To be considered for this position, please include a cover letter with your application materials. 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? Record your response using Loom (free service). Copy and paste the video link into your cover letter. Program-Specific Focus Facilitators will support AI/ML Technology and Architecture certificate programs, which help working professionals move from using AI to building with it through hands-on Python work. The ideal candidate has 8+ years of professional experience in one or more of the following areas, with the ability to explain these concepts to working professionals: Applied machine learning, from data preparation and feature engineering through training, evaluating, and improving common models such as regression, decision trees, and ensembles. Natural language processing, including text preprocessing, vectorization and embeddings, document classification, topic modeling, clustering, and sentiment analysis. How large language models work, including tokenization, embeddings, attention and transformer architectures, and fine-tuning. Building LLM-powered applications, including prompt and context engineering, retrieval-augmented generation (RAG), and AI agents. AI strategy, governance, and ethics, including evaluating AI opportunities, human oversight, AI security, and bias and fairness. 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: Has 8+ years of relevant professional experience, or an equivalent combination of education and experience. Graduate degree in computer science, data science, statistics, information science, or a related field preferred. Brings 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. Is proficient in Python and can quickly read, debug, and evaluate students’ code in Jupyter notebooks. Has hands-on experience with the tools used in the program, such as NumPy, pandas, scikit-learn, NLTK or spaCy, Hugging Face Transformers or PyTorch, commercial LLM APIs (e.g., OpenAI, Anthropic, Google Gemini), and frameworks such as LangChain, LangGraph, or the OpenAI Agents SDK. Can explain the math (probability and statistics, linear algebra, and gradient-based optimization) underlying ML models. Communicates complex technical concepts clearly to professionals with varied technical backgrounds and uses relevant industry examples to help learners apply course concepts. Is comfortable facilitating live online discussions, providing timely and impactful feedback to busy professionals. Possesses exceptional communication skills, both written and verbal. Is comfortable with technology for instruction Loom video submission with application Preferred Qualifications: Brings 15+ years of progressive experience in data science, machine learning, NLP, AI engineering, or software and solutions architecture. Has held senior technical, architectural, or leadership roles in which they designed, deployed, or scaled ML, NLP, or generative AI systems in production, including making architecture, model selection, and build vs. buy decisions. Has hands-on experience fine-tuning LLMs (e.g., LoRA, DPO), working with open models from the Hugging Face Hub, building Model Context Protocol (MCP) servers, or developing autonomous and multi-agent systems. Has experience with SQL and relational databases, and with deep learning frameworks such as TensorFlow/Keras or PyTorch. Has led cross-functional teams and can share firsthand experience with AI opportunity assessment, AI governance and risk management, model evaluation in production, and the trade-offs involved in bringing AI solutions from prototype to deployment. Experience teaching, coaching, or mentoring technical professionals. **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 an experienced semiconductor manufacturer and are passionate about helping professionals learn the theory and practices critical to the process, we’d love to hear from you. Apply today and become an integral part of the Cornell 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: Freddie Salley Contact Email: [email protected] 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: Prior relevant work or industry experience Education level to the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator. Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell’s union wages, see Union Pay Rates. Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email [email protected]. If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at [email protected]. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing [email protected]. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. 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. 2026-11-06 Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery and engagement. With our main campus located in Ithaca, NY, Cornell's far-flung global presence includes the medical college's campuses on the Upper East Side of Manhattan and Doha, Qatar, as well as the Cornell Tech campus located on Roosevelt Island in the heart of New York City. We offer a rich array of services, programs and benefits to help employees advance in their career and enhance the quality of personal life, including employee wellness, workshops, childcare and adoption assistance, parental leave and flexible work options.

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