Technical Training Specialist

As part of QIMAs Technical Team you will support the Global Footwear Technical Leader on key projects aimed at improving inspector effectiveness globally. This is a content-driven technical role with potential onsite exposure ideal for someone interested in footwear softlines/apparel training and quality.

Training Documentation Development and Deployment

• Support the creation maintenance and deployment of on-site and online learning materials
• Assist in developing training content guides presentations and supporting documentation
• Contribute to the development of our Footwear Curriculum and support leather goods training

Micro-Learning Content Creation

• Develop and edit micro-learning content to support technical training initiatives
• Assist with content planning scripting formatting and deployment

Technical Team Support

• Provide support for training sessions workshops and competency assessments
• Assist with training logistics participant coordination and administrative activities
• Support onsite training sessions and inspector assessments across multiple countries

Audit & Continuous Improvement

• Contribute to the improvement of Technical Audits
• Monitor and improve key technical tools processes and reporting effectiveness

Inspection Support

• Provide onsite support to footwear teams across multiple countries
• Help measure inspection report effectiveness and support technical performance improvement

AI Adoption & Innovation

• Champion an AI-first mindset by promoting the use of AI tools and technologies in day-to-day operations
• Encourage experimentation and adoption of AI-driven solutions to improve efficiency strengthen processes and elevate service quality

Qualifications :

• Final-year student or post-graduate in Engineering or equivalent
• An engineering background is required
• A background in softlines/apparel and footwear is strongly preferred although other engineering backgrounds may also be considered
• Interest in leather goods is a plus
• Rigorous detail-oriented and confident working autonomously
• Strong communication skills
• Willingness to travel internationally (mostly SEA)
• Fluent in English
•  A genuine enthusiasm for Artificial Intelligence and its practical applications is a strong plus

Remote Work :

No

Employment Type :

Intern