Advanced Manufacturing, Drone & AI Automation Programmes Associate Trainer

Job Description

• Design, develop and facilitate training programmes in Robotics and Automated Systems, including the application and deployment of automation solutions in industrial environments.
• Deliver training on Internet of Things (IoT) concepts, technologies and Industry 4.0 applications.
• Conduct practical and theoretical training on PLC Programming, commissioning, troubleshooting and industrial control systems.
• Facilitate learning on Machine and Automation Safety, including risk assessment, compliance and safe work practices.
• Deliver training on CAD Modelling and Technical Drawing for engineering and manufacturing applications.
• Conduct hands-on training in Pneumatic and Hydraulic Technologies, including system operations, maintenance and troubleshooting.
• Facilitate Lean Six Sigma Yellow Belt programmes focused on process improvement, operational excellence and waste reduction.
• Deliver classroom and practical training on Commercial Drone Operations, including facade cleaning drone deployment, operational safety and industry applications.
• Design and facilitate training on Agentic AI and Business Process Automation using Microsoft Copilot, Copilot Studio and Power Automate.
• Conduct workshops on AI-Powered Workflow Automation using n8n, Claude and other Large Language Model (LLM) technologies.

Job Requirement

• Relevant degree, diploma, professional qualification or industry certification.
• Minimum 3 to 5 years of relevant industry experience.
• Strong facilitation, presentation and communication skills.
• Experience delivering technical training, workshops, demonstrations or hands-on learning activities.
• Ability to translate technical concepts into practical, workplace-relevant learning.
• ACLP or ACTA certification is preferred.
• For Drone Training programmes, possession of a valid CAAS Unmanned Aircraft Pilot Licence (UAPL) preferably up to 25kg and experience conducting practical drone operations and training.
• Experience in AI governance, data privacy, responsible AI practices, or legal industry workflows will be an added advantage.