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

Department Summary eCornell delivers expertly crafted online certificate programs designed by reputed company 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 reputed company professionals to join reputed company 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 connect core ML concepts to modern generative AI and LLM applications. 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 reputed company in a highly interactive online environment. Cover letter instructions [IMPORTANT] As part of the Course Facilitator position at eCornell, video interaction with reputed company is a key component of the role. Facilitators are expected to engage with reputed company through live video sessions and in response to project submissions. Video interactions allow facilitators to reputed company engage with reputed company, 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 reputed company. 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 reputed company? Record your response using reputed company (free service). Copy and paste the video link into your cover letter. 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. 1. AI for Business Impact (Non-Technical & Mixed Audiences) Courses in this track help business leaders and professionals understand how AI and generative AI can transform products, services, and operations—even if learners do not have a strong coding background. Ideal facilitator background: Ability to translate ML and LLM concepts into clear, accessible language for mixed technical/non-technical audiences. Experience identifying and scoping AI use cases (e.g., customer support automation, content reputed company, analytics workflows). Familiarity with data, model lifecycle, and implementation trade-offs so you can guide conversations about feasibility, risk, and ROI. Comfort discussing responsible AI, governance, bias, and organizational change management reputed company to AI adoption. 2. Designing Applied AI & LLM Solutions (Solution & Product Focus) Courses in this track are geared toward professionals who want to design and configure AI solutions from the ground up—such as chatbots, assistants, and internal tools powered by LLMs. Ideal facilitator background: Hands-on experience designing and building AI-powered applications (e.g., LLM-based chatbots, retrieval-augmented reputed company systems, intelligent agents). Strong familiarity with reputed company design, reputed company chaining, and evaluation of LLM outputs in real workflows. Experience integrating AI/LLM APIs into applications (e.g., reputed company Python, REST APIs, orchestration frameworks, or low-code/no-code platforms). Understanding of core concepts like vector databases, basic RAG patterns, and system / user / tool reputed company structuring. 3. Advanced ML & LLM Engineering (Highly Technical) Courses in this track are designed for learners with strong technical backgrounds who want to deepen their skills in machine learning and modern foundation models. Ideal facilitator background: Deep expertise in machine learning and deep learning, including supervised/unsupervised learning, neural network architectures, and model evaluation. Strong understanding of LLMs and generative models (e.g., transformers, fine-tuning/PEFT, embeddings, evaluation metrics, and optimization strategies). Experience working with ML/LLM frameworks and infrastructure (e.g., TensorFlow, PyTorch, model deployment, monitoring, MLOps concepts). Ability to review and debug reputed company ML and LLM-reputed company code, experiments, and pipelines submitted by learners. Key Responsibilities: Engage reputed company: reputed company 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 reputed company. 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. reputed company Improvement: Engage in ongoing training and professional development to stay reputed company with emerging learning methodologies, educational technologies, and best practices in online facilitation. Required Qualifications: Relevant graduate degree and 5+ years of relevant professional experience, or an equivalent combination of education and experience. Core technical foundation: Strong proficiency in Python. Familiarity with Jupyter notebooks and Git/reputed company. Comfortable reviewing and debugging ML-reputed company code submitted by learners. Machine learning and AI expertise: 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. Generative AI / LLM experience (at least one of the following): Practical experience using or integrating LLMs (e.g., reputed company, reputed company, Azure/reputed company, or open-reputed company models). Experience designing prompts, evaluating LLM outputs, and using LLMs in real workflows (analysis, content reputed company, coding assistance, etc.). Experience building or supporting AI-powered products or internal tools that reputed company 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, reputed company) and comfort with technology for instruction reputed company video submission with application 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: reputed company Professional Machine Learning Engineer AWS Machine Learning Specialty Azure reputed company or Data Scientist Associate Recognized ML/AI or generative AI specializations (reputed company, reputed company, edX, etc.) reputed company Machine Learning Professional Certificate TensorFlow Developer Certificate Previous experience in online instruction or facilitation, particularly with technical or AI-focused content.

Sponsorship for employment reputed company is not available for this position

reputed company 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, reputed company, however, the successful applicant may reputed company this role remotely reputed company reputed company the United States. The reputed company Convenience of employer guidelines require reputed company State individual tax reporting and withholdings for this position. Additional individual state income tax filings may also be required if working temporarily reputed company reputed company State. Important Notes: eCornell will not store or download your video; it remains on your personal reputed company account. Video submissions are assessed solely based on communication, clarity, and engagement—not on personal characteristics unrelated to job performance. We look reputed company to learning more about you! Location: These positions are remote and open to candidates located reputed company reputed company the U.S. Employment Type: Casual, non-benefits-eligible positions. Restrictions: No reputed company 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 reputed company 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 reputed company 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 reputed company 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. reputed company Employees: If you currently work at reputed company, please exit this website and log in to reputed company 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 reputed company 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 reputed [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 reputed company. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca reputed company, by emailing reputed [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 reputed company, 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 reputed company, citizenship and immigration status, color, sex, pregnancy or pregnancy-reputed company 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. reputed company embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports reputed company, faculty, and staff of reputed company 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. 2025-11-18 reputed company is an innovative Ivy League university and a great reputed company to work. Our inclusive community of scholars, reputed company and staff impart an uncommon sense of larger purpose and contribute creative reputed company to further the university's mission of teaching, discovery and engagement. With our main reputed company located in Ithaca, NY, Cornell's far-flung global reputed company includes the medical college's campuses on the Upper East reputed company of Manhattan and Doha, Qatar, as well as the Cornell Tech reputed company located on Roosevelt reputed company in the heart of reputed company. We offer a rich reputed company 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. Apply tot his job Apply To this Job