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Technical Training Specialist, Central Learning Solutions (CLS) Content Team

Amazon - Bellevue, Washington, USA

Posted Apr 6, 2026

Benefits

Parental leave
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About this role

Technical Training Specialist, Central Learning Solutions (CLS) Content Team Bellevue, Washington, USA The Central Learning Solutions (CLS) Content Design Standards team is seeking a Technical Training Specialist to build, update, and maintain learning content across North America Operations business lines. Working within established CLS design standards and modular content frameworks, you will develop reusable learning components, apply consistent instructional patterns, and ensure content is scalable and efficient across multiple business lines. You will partner closely with instructional designers, Visual Design Standards teams, Professional Learning Systems, and business-line learning teams to embed modular logic, reusable components, and consistent instructional patterns across all learning products. This role requires hands-on content development expertise, stakeholder management skills, and cross-functional communication to help NA Ops deliver high-quality learning at scale. You will directly support the 2026 CLS strategy for content standardization, modality optimization, template parity, cost efficiency, and content reuse. Key job responsibilities - Build, update, and maintain learning content across multiple business lines, including new course development, content refreshes, and iterative improvements based on performance data and stakeholder feedback. - Develop and maintain reusable content components, including microlearning objects, assessments, test-out logic, and learning pathways, that enable efficient content delivery and reduce duplication across 8,000+ trainings. - Collaborate with stakeholders, product managers, and CLS pillar leads (Operations, Technology, Technical Training) to translate learning requirements into scalable technical solutions and drive development from design through successful deployment. - Build mechanisms that reduce design cycle time through reusable content blocks, standardized learning objects, automation-friendly instructional patterns,

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