As a Lead Learning Experience Designer (LED), you will be responsible for designing, developing, and contextualizing high-quality GA learning programs for enterprise, technical, and professional audiences. This role requires strong learning experience design knowledge, excellent program development and project management skills, and hands-on fluency with AI tools and emerging workplace technologies.

You will create practical, outcome-driven learning experiences that help learners build relevant skills and apply them with confidence in real workplace contexts. Because AI is increasingly embedded across GA programs and client needs, you should understand how modern AI tools are actually used in the workplace and be able to translate that fluency into applied activities, labs, simulations, facilitator guides, assessments, and client-specific adaptations.

While this role will contribute significantly to GA’s AI-enabled and emerging technology portfolio, it is not a purely AI curriculum role. The core responsibility is to create scalable, high-quality GA programs that meet learner needs, client goals, market expectations, and GA’s instructional standards.

You will project manage and collaborate with subject matter experts, instructors, product managers, learning designers, assessment specialists, vendors, and client-facing teams to create learning experiences that reflect current market needs, emerging capabilities, and practical workplace application.

Terms and Details:

• This is a flexible, contractor position on a 2 or 3 month term
• We would expect someone to provide 30 hours per week when on a project
• This role will be 100% remote
• For US Candidates: Pay is between $45 and $55 USD per hour
• For European Candidates: Pay is between €23 and €35 Euros per hour
• For South Asian Candidates: Pay is between $15 and $25 USD per hour
• For APAC Candidates: Pay is between $20 and $38 USD per hour

Key Responsibilities:

Program Ownership & Discovery

• Serve as the Lead Learning Experience Designer for GA programs that may include AI, emerging technology, digital transformation, technical skills, leadership, role-based application, or workplace productivity components.
• Own the complete Client-facing Design Process; requirements gathering, learning outcomes, project timelines, scope, resourcing, development plans, and content quality from discovery through delivery.
• Partner with sales, product, client success, solutions, and delivery teams to identify client and learner needs and translate those needs into practical learning solutions.
• Support pre-sales and client conversations by helping define skill needs, learner personas, program objectives, audience readiness, and recommended learning pathways.
• Evaluate the tools, workflows, use cases, and workplace contexts most relevant to a client or learner audience, including AI tools where relevant, and determine how they should be represented in the learning experience.
• Define clear learning outcomes that move learners from awareness to practical application, workflow improvement, productivity gains, behavior change, and responsible technology use.

Applied Learning Design & AI-Enabled Development

• Design and develop practical, instructor-led learning experiences for learners at varying levels of expertise, including programs where AI tools, workflows, or emerging technologies are central to the learner outcome.
• Create instructor-led training materials, including slides, hands-on labs, case studies, simulations, assessments, facilitator guides, learner workbooks, and practical workplace exercises.
• Build learning experiences that help learners actively apply new skills in realistic workplace contexts, including the use of AI tools and platforms where relevant.
• Design hands-on activities using current workplace and AI tools, such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Midjourney, NotebookLM, or other tools relevant to enterprise learning.
• Translate complex or technical concepts into structured, accessible, and engaging learning experiences in partnership with subject matter experts.
• Curate, contextualize, and update content to reflect emerging industry trends, new tool capabilities, evolving best practices, accessibility expectations, and responsible use considerations.
• Design structured learning pathways across levels of proficiency, including AI literacy, role-based application, technical skill development, workflow redesign, responsible technology use, and advanced concepts where appropriate.
• Develop practical, interactive exercises such as tool walkthroughs, prompt refinement activities, workflow mapping, use case development, ethical decision-making scenarios, productivity tasks, coding challenges, technical labs, or real-world business simulations.
• Ensure learning experiences are grounded in adult learning principles, learning science, accessibility, measurable learner outcomes, and practical transfer to the workplace.
• Follow GA’s design and development standards, best practices, templates, QA processes, and productization expectations for core and customized curriculum.
• Create, execute, and own the quality of project and program development timelines, deliverables, and required resources.
• Onboard and project manage all resources required for program development, including SMEs, other LEDs or instructional designers, assessment specialists, instructors, vendors, contractors, and freelancers.

Delivery & Instructor Enablement

• Develop instructor enablement materials to support live classroom training delivery, including facilitator guides, run-of-show documents, learner workbooks, real-world case studies, tool setup instructions, troubleshooting guidance, and activity facilitation notes.
• Provide guidance to instructors on best practices for applied, interactive learning, including live tool demonstrations, coaching, discussion facilitation, learner support, applied exercises, and technology-supported problem solving.
• Work closely with instructors, learning facilitators, and client teams to tailor learning programs for diverse audiences, including enterprise clients, startups, government organizations, technical teams, business leaders, and cross-functional employee populations.
• Ensure instructors are equipped to deliver learning experiences confidently, accurately, consistently, and in alignment with GA’s instructional standards.
• Collect, synthesize, and analyze data on learning impact to support continuous improvement, content refinement, learner outcomes, and program updates.
• Where applicable, work with translation vendors and localization partners to adapt learning experiences for global audiences.

Productization

• Lead conversations and workflows with product management and learning systems design teams to standardize reusable GA learning patterns, components, activities, templates, and program structures.
• Contribute to the development of a scalable library of reusable GA learning components, including program structures, activities, assessments, facilitator resources, client-ready assets, and AI-enabled learning patterns where relevant.
• Identify which custom learning materials can be converted into reusable product components or repeatable delivery models.
• Support the evolution of GA’s learning portfolio by identifying emerging client needs, market shifts, tool trends, and opportunities for new or improved learning products.

Qualifications:

• 5+ years of experience in instructional design, learning experience design, curriculum design, or a related field, with significant experience creating instructor-led training content.
• Demonstrated ability to design high-quality learning experiences for enterprise, professional, technical, or workplace audiences.
• Strong experience creating practical, outcome-driven learning materials, including slides, facilitator guides, activities, assessments, case studies, labs, simulations, and learner resources.
• Experience managing clients, stakeholders, SMEs, instructors, vendors, or cross-functional partners through a content development process.
• Strong understanding of instructional design methodologies, including Bloom’s Taxonomy, ADDIE, experiential learning, practice-based learning, and adult learning principles.
• Ability to design for both technical and non-technical audiences, including leaders, business teams, functional teams, and technical practitioners.
• Hands-on fluency with current AI tools and the ability to use those tools to design, prototype, evaluate, and improve learning experiences.
• Demonstrated experience designing learning experiences related to AI, emerging technology, data, digital transformation, technical skills, or workplace technology adoption.
• Strong working knowledge of AI concepts, including generative AI, large language models, prompt engineering, machine learning, AI agents, ethical AI, responsible use, and enterprise AI adoption.
• Experience designing practical, hands-on learning activities that may include AI tools, labs, case studies, simulations, workflow exercises, or tool-based practice.
• Experience collaborating with subject matter experts to translate complex concepts into structured, engaging, and accessible learning experiences.
• Familiarity with LMS platforms, content management systems, and authoring tools.
• Willingness to flex your schedule to join meetings across time zones, particularly in the United States, Europe, the Middle East, and Asia.
• Thrives in fast-paced, dynamic environments where priorities, tools, and client needs evolve quickly.
• Passionate about helping diverse learners build practical, future-facing skills for the changing world of work.

Nice to Have:

• Technical proficiency in AI, data science, or coding, including Python, APIs, TensorFlow, PyTorch, or similar frameworks.
• Experience using GitHub or other technical collaboration tools.
• Experience designing AI training labs, coding exercises, model-building workshops, or real-world AI case studies.
• Familiarity with virtual machines, cloud-based labs, sandbox environments, or technical learning environments.
• Experience integrating AI-driven personalization, adaptive learning, or AI-supported learner practice into course design.
• Experience designing enterprise AI adoption programs, leadership AI programs, role-based AI academies, technical academies, digital transformation programs, or role-based learning journeys.
• Experience creating learning experiences for tools such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, NotebookLM, Midjourney, or similar platforms.