Freelance AI Instructional Designer/ LED

AI Learning Experience Designer

As an AI Learning Experience Designer (ID/LED), you will be responsible for designing and

contextualizing cutting-edge, instructor-led AI training programs for both technical and

non-technical audiences. You will collaborate with subject matter experts (SMEs),

instructional designers, and product managers to create engaging, outcome-driven learning

experiences that help learners grasp, apply, and innovate with AI technologies.

Terms and Details:

● This is a flexible, contractor position on a per-project basis

● We would expect someone to provide at least 30 hours per week when on a project

● This role will be 100% remote

Key Responsibilities:

Discovery

● Work with leading LED or project managers to define key skills, competencies, learning

objectives and pathways within the discipline.

● Support sales teams or product teams in identifying client and learner needs and goals

and proposing learning solutions.

Design & Development

● Follow our client's design and development standards, best practices, and processes for

core and customized curriculum, materials, and assets.

● Design and develop AI-focused learning experiences that cater to learners at varying

levels of expertise and technical proficiency.

● Create instructor-led training materials (slides, hands-on labs, case studies, assessments)

aligned with best practices in AI education.

● Partner with AI subject matter experts (SMEs) to design practical, interactive exercises,

such as coding challenges, AI model-building workshops, and ethical AI decision-making

scenarios.

● Curate and contextualize existing AI content to align with emerging industry trends,

ensuring materials are always relevant and up to date.

● Design structured learning pathways for AI skills development, from foundational AI

literacy to advanced deep learning applications.

● Work with vendors, contractors and freelancers in content, assessment, and support

material production.

Delivery

● Develop instructor enablement materials to support live classroom training delivery (e.g.,

facilitator guides, learner workbooks, real-world case studies).

● Provide guidance to instructors on best practices for AI education, including effective

strategies for live coding demonstrations, interactive discussions, and problem-solving

activities.

● Work closely with instructors, learning facilitators, and client teams to tailor learning

programs for diverse audiences, including enterprise clients, startups, and government

organizations.

● Collect, synthesize and analyze data on learning impact for continuous improvement,

refinement, and content updating.

● Where applicable, work with translation vendors in the localization of content.

Productization

● Work with product management and learning teams to standardize patterns and

components for base curricular products.

● Work with product management and learning teams to build out the library of product

components, exemplars, and documentation.

Requirements:

● Has created content for an instructor-led program that focuses on AI concepts.

● Background in a client-facing role, either supporting or managing, is highly desirable

● Experience collaborating with AI subject matter experts to translate complex concepts into

structured, engaging learning experiences.

● 8+ years of instructional design or learning experience design with a focus on AI, data

science, or emerging technologies.

● Knowledge of instructional design methodologies, including Bloom’s Taxonomy, ADDIE,

and experiential learning models.

● Strong knowledge of AI concepts such as machine learning, large language models

(LLMs), neural networks, and ethical AI considerations.

● Thrives working in fast-paced, dynamic environments.

● Familiarity with Google Suite, and LMS content management and authoring tools.

● Willingness to flex your schedule to join meetings in different time zones, particularly in the

United States and Europe, Middle East, and Asia.

Nice to Have:

● Technical proficiency in AI and coding (Python, TensorFlow, PyTorch, or similar AI

frameworks). Including knowledge of GitHub.

● Familiarity with Virtual Machines (VM)

● Hands-on experience developing AI training labs, coding exercises, or real-world AI case

studies.