AI Learning Designer / Instructional Designer - 100% Remote (TOR, ON)

Recrute Action•Toronto, ON

23h•CA$45 - CA$60•Remote

About The Position

Create impactful AI-driven learning experiences in a fast-paced insurance environment where innovation, creativity, and digital learning come together. This fully remote opportunity offers the chance to design engaging microlearning content, leverage cutting-edge AI tools, and influence how global teams learn and apply emerging technologies through modern, learner-focused training solutions.

Requirements

Bachelor’s Degree in Instructional Design, Education, Learning Experience Design, Communications, Business, or a related field.
5 years of progressive experience in instructional design or learning experience design within an enterprise environment.
Demonstrated expertise in instructional design methodologies, including analysis, learning objectives, storyboarding, and assessment design across multiple learning modalities.
Ability to provide a portfolio or work samples demonstrating instructional design capabilities.
Strong experience designing enterprise learning solutions using methodologies such as ADDIE or SAM from needs analysis through evaluation.
Hands-on experience creating learner-ready assets including microlearning videos, digital modules, job aids, presentation decks, and reinforcement materials.
Working knowledge of AI concepts and generative AI productivity tools.
Ability to translate responsible AI principles into practical and enterprise-ready learning content, learner behaviors, examples, and prompts.
Proficiency with Synthesia or similar AI video platforms and eLearning authoring tools such as Articulate Rise or Storyline.
Basic video editing skills, including audio cleanup, transitions, captions, and branding elements.
Strong ability to collaborate with stakeholders and subject matter experts while managing feedback cycles and communicating design rationale effectively.
Strong communication skills.

Nice To Haves

Experience with LMS or LXP platforms, including content publishing, metadata management, and basic troubleshooting, is considered an asset.
Background in adult learning theory, behavioral science, learning experience design, UX, or content design is considered an asset.
Experience using learner analytics or data visualization tools such as Power BI to evaluate learning effectiveness is considered an asset.
Experience with graphic design or production tools such as PowerPoint, Figma, Canva, Adobe Creative Suite, or advanced video editing tools is considered an asset.
Experience supporting localization workflows and creating accessible content for global audiences is considered an asset.

Responsibilities

Lead end-to-end instructional design using structured methodologies such as ADDIE or SAM, including needs analysis, learning objectives, design strategy, development, implementation support, and evaluation.
Partner with stakeholders and subject matter experts to translate business needs into effective learning solutions while managing reviews and feedback cycles to achieve project scope and success measures.
Design and develop learning assets across multiple formats, including Synthesia AI microlearning videos, digital modules, instructor-led materials, and job aids.
Edit and produce learner-ready video assets, including cuts, captions, audio cleanup, transitions, and branding templates using video editing tools.
Measure and improve learning effectiveness through evaluation approaches, learner data analysis, and iterative design improvements.
Create workflow-based enablement and reinforcement materials such as realistic scenarios, practice activities, prompts, job aids, and communities-of-practice resources to support AI skill application in daily work.
Design localization-ready content for global audiences using plain language, accessible templates, and consistent terminology while supporting translation and localization workflows.
Ensure quality, accessibility, and consistency by applying learning standards, inclusive design practices, and accessibility guidelines such as WCAG.
Leverage AI responsibly within the design workflow to support ideation, scripting, and asset creation while aligning with enterprise standards related to privacy, accessibility, risk, branding, and validation.