Technical Lead Learning Experience Designer - U.K. (30 hours/week)

• →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

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.