Learning Technologist and AI Coordinator

Automatic Data Processing, Inc.; Trenton (NJ); Hybrid; USD 76,000 - 122,000; Full time

Job summary

Thomas Edison State University seeks a Learning Technologist and AI Coordinator to shape engaging, accessible online learning experiences. You will combine Canvas LMS expertise, instructional technology support, and responsible use of generative AI to aid course design and development teams.

Collaborating with technology staff and academic leadership, you will enhance course delivery, streamline digital workflows, and guide ethical AI practices across instructional and operational activities.

Qualifications

• Bachelor's degree required; Master's preferred.
• Experience with Canvas LMS and instructional technology.
• Strong understanding of adult learning principles and accessibility.

Responsibilities

• Lead AI-assisted course design and development with instructional designers and subject matter experts.
• Automate workflows and streamline instructional design tasks.
• Govern AI adoption with data privacy, security, and ethics in mind.
• Promote academic integrity and responsible AI practices across courses.
• Monitor AI trends to improve course delivery and operational workflows.

Skills

Canvas LMS

AI in education

Instructional design support

Adult learning

Education

Bachelor's degree

Master's degree

equivalency

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Learning Technologist and AI Coordinator

CLT Full Time Trenton, NJ, US

Salary Range: $76,486.40 To $122,359.00 Annually

Learning Technologist and AI Coordinator
U24: $76,486.40 - $122,359.00 (Salaries for internal candidates are determined by a promotional formula. Salaries for external candidates are determined up to step 4: $87,954.55, or dependent on qualifications)
Learning Technology, Innovation, and Services
102 West State Street Trenton, NJ 08608

Summary

The Learning Technologist and Artificial Intelligence Coordinator will play a key role in shaping engaging, accessible, and future-ready online learning experiences. This position brings together Canvas LMS expertise, instructional technology support, and the responsible use of generative AI to help course design and development teams work more efficiently and create stronger learning experiences for adult learners. Working in partnership with technology teams and academic leadership, this role will support high-quality course delivery, streamline digital learning workflows, and help guide the ethical, secure, and academically responsible use of AI across instructional and operational practices.

AI-Assisted Course Design and Development

• AI-Assisted Course Design and Development: Collaborate with instructional designers, assessment developers, and subject matter experts to develop prompts, templates, AI agents, and generative AI-supported materials that accelerate the creation of syllabi, learning objectives, active learning scenarios, case studies, and accessible course assets.
• Workflow Automation and Operational Efficiency: Use AI coding assistants, lightweight scripting, and automation tools to streamline repetitive instructional design, assessment, and administrative tasks across projects.
• Responsible AI Adoption and Governance: Support the integration of AI tools into institutional operations and course development in alignment with TESU strategic priorities, data governance policies, privacy, security, compliance, bias mitigation, and responsible-use expectations.
• AI Ethics and Academic Integrity: Guide course design and development teams in applying institutional AI policies, promoting ethical AI use, and supporting academic integrity through clear expectations, responsible practices, and appropriate use of AI tools.
• Research and Continuous Improvement: Monitor emerging AI trends, research, and best practices in online learning to inform course design, operational improvements, and institutional AI adoption.

Canvas Operations & Support

• Canvas LMS Proficiency: Demonstrated ability to configure and maintain course spaces, assist users with basic system administration and troubleshooting, and manage common third-party tool integrations (LTIs).
• Support Canvas administrative operations, including feature integrations, LTI tools, permission structures, and troubleshooting for third-party software.
• Implement Course Revisions & New Builds: Partner with Instructional Designers to build, configure, and launch completed course revisions and new course developments within Canvas, ensuring precise structural setup, tool alignment, and adherence to institutional design standards.
• Resolve Technical Issues & Provide User Support: Serve as a primary point of contact for routine Canvas system administration, providing timely troubleshooting, issue resolution, and hands‑on guidance for staff.
• Build AI-Ready Knowledge Base & Technical Documentation: Author, maintain, and structure comprehensive knowledge articles and process guides for learning technologies, optimizing content specifically for integration with Zendesk AI tools to drive self‑service resolution and streamline user support.
• Champion Universal Design for Learning (UDL) principles and web accessibility standards (WCAG 2.2) across all digital course builds.
• Consultative Guidance & Advisory: Ability to translate technical concepts into clear, encouraging language for instructors with varying levels of tech proficiency.
• Adult Learning Focus: Deep understanding of the unique motivations, self‑directed nature, and practical needs of adult learners in digital spaces.
• Agility & Continuous Curiosity: A proactive drive to stay ahead of EdTech and AI developments, continuously testing, evaluating, and adapting emerging technologies.
• Cross‑Functional Collaboration: Strong interpersonal skills to build trusting relationships across instructional design teams, IT departments, and academic leadership.
• Project Management & Operational Agility: Demonstrates the ability to independently organize, drive, and execute complex learning technology initiatives from inception through completion within a fast-paced higher education environment. Adept at managing multiple competing priorities, navigating academic governance, and consistently meeting tight, fixed deadlines (e.g., term starts, platform rollouts, staff training cycles) without compromising quality or user experience.

Requirements

Education: Graduation from an accredited college with a Bachelor's degree supplemented by a Master's degree in a field related to the position to be filled or an equivalency as determined by the appointing authority.

Experience: Three years professional experience in a field that is directly related to the functions of the position to be filled or equivalency as determined by the appointing authority.

• Applicants who do not possess the required education may substitute required experience on a year-for-year basis (30 credit hours is considered one year of college).
• A Ph.D. or an Ed.D. degree may be substituted for two years of the required experience.

Preferred Requirements

• Canvas LMS Proficiency: Demonstrated ability to configure and maintain course spaces, assist users with basic system administration and troubleshooting, and manage common third-party tool integrations (LTIs).
• Higher Education Track Record: Proven experience working in a Higher Education setting, specifically supporting online course development and adult learning programs.
• Hands‑On AI Experience: Demonstrated background using Generative AI tools (e.g., ChatGPT, Claude, Midjourney, Copilot) within instructional design or educational context workflows.
• Master’s degree in educational technology, or a closely related field.
• Core LMS Expertise: Advanced to expert-level experience in Canvas LMS administration, course architecture, LTI integrations, and technical troubleshooting.
• AI Policy: Experience contributing to institutional AI governance, academic integrity guidelines, or AI pilot program evaluations.
• Experience using agentic AI coding tools (such as ChatGPT Codex, Claude Code) to build lightweight automations, scripts, or internal utilities that support teaching, learning, or academic operations systems.
• Understanding of how API-based integrations (e.g., LMS, SIS, or ERP systems such as Ellucian Colleague) and emerging AI integration standards (such as MCP) support automation and AI-enabled workflows in an academic environment.

*TESU strives to offer a flexible work environment while balancing the operational needs of the University. As such, we have several options for hybrid-work schedules. Positions determine what type of hybrid-work schedule is available and, if necessary, adjustments are made to support University operations.

Thomas Edison State University is an Equal Opportunity/Affirmative Action Employer