Technical AI Learning Experience Designer (Contract - Portugal)

As a Technical 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. You will need to demonstrate technical proficiency in AI and knowledge of GitHub.

Terms and Details:

• This is a 100% remote, contractor position on a per-project basis
• This contractor needs to reside in Portugal
• Dates: 10/27/25 - 4/9/26 except for Christmas Eve 2025, Boxing Day 2025, and New Year's Day 2026
• Hours: 30 hours/wk working Monday through Friday
• Times: TBD but overlap of US ET working hours

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 GA’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.
• 3+ 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.
• 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.
• Experience integrating AI-driven learning personalization into course design.