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

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 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 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

• Record your response using Loom (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 operationseven 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 generation 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 related to AI adoption.

2. Designing Applied AI & LLM Solutions (Solution & Product Focus)

Ideal facilitator background:

• Hands-on experience designing and building AI-powered applications (e.g. LLM-based chatbots retrieval-augmented generation systems intelligent agents).

• Strong familiarity with prompt design prompt chaining and evaluation of LLM outputs in real workflows.

• Experience integrating AI/LLM APIs into applications (e.g. via 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 prompt 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 complex ML and LLM-related code experiments and pipelines submitted by learners.

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 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/GitHub.

  • Comfortable reviewing and debugging ML-related 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. 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.

• 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

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 engagementnot 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 youre passionate about applied machine learning generative AI and large language modelsand about helping professionals use these tools thoughtfully and effectivelywed love to hear from you. Apply today and become an integral part of the eCornell team!

University Job Title:

Job Family:

Level:

Pay Rate Type:

Pay Range:

Remote Option Availability:

Company:

Contact Name:

Contact Email:

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 Cornells 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 Cornells 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 .

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 or email at .

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 .

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:

Cornellwelcomes 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 individuals 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 seeksjob candidates who will contribute to a climate that supports students faculty and staff of all identities and backgrounds. Wehire based on merit andencourage people from historically underrepresented and/or marginalized identities to 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.