Learning Technologist and AI Coordinator

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

Thomas Edison State University was founded in 1972 to break down barriers to degree completion. Fifty years later, it proudly serves a diverse body of adult students with innovative and professionally relevant academic programming in a predominantly online delivery. Our team of high-energy student-focused professionals is welcoming new members who are making their mark in education and are ready to help change the lives of thousands of adult students across New Jersey and around the world.

Candidates who are excited by changing lives, committed to the success of all and want to be challenged by new and innovative opportunities, should submit an application.

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.

Additional Competencies

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