AI Implementation Specialist (Training) Job Description
Desired Skills6-9+ years of fashion industry experience, preferably working in footwear design.
Strong background in fashion design
Adobe Illustrator
Adobe Photoshop
Experience creating and reviewing fashion visuals (garments, prints, footwear, accessories)
Familiarity with generative AI tools (e.g., Midjourney, DALL·E, similar)
Comfort learning and explaining new software tools
Google Docs, Slides, and Spreadsheets
MS365
Strong written and verbal communication skills
Job DescriptionRaspberry AI is seeking a full-time, remote AI Training & Implementation Specialist with a fashion design background to onboard, train, and support customers using our AI-powered design platform.
In this role, you’ll be responsible for helping new and existing customers become confident, independent users of Raspberry AI. Your focus will be training, onboarding, and ongoing enablement—running live sessions, hosting office hours, troubleshooting user issues, and creating clear educational resources that scale.
You’ll work closely with Customer Success, Product, and Engineering to surface user feedback, flag issues, and continuously improve how customers learn and use the platform. This role is ideal for someone who enjoys teaching, problem-solving, and working directly with designers—and who is excited about helping fashion teams adopt generative AI in practical, real-world workflows.
Additional responsibilities may be assigned as business needs evolve.
ResponsibilitiesLead customer onboarding and training sessions to help users get productive quickly
Host office hours and follow-up sessions to support ongoing learning and adoption
Respond to customer questions and troubleshoot issues via the Support Desk, email, or Loom
Review customer usage to identify blockers, confusion, or opportunities for improvement
Escalate bugs and product issues to Engineering and track them as needed
Create and maintain enablement resources such as onboarding scripts, help docs, and Loom videos
Partner with Customer Success, Product, and Engineering to share customer feedback and insights
Support teammates by answering questions and contributing to team workflows
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