Technical AI Learning Experience Designer (Contract - Portugal)

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

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.

Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.