Industrial Engineering – AI Trainer Job Micro1
- Kenya
- Permanent
- Full-time
- Collaborate with AI development teams to train, validate, and enhance AI models focused on industrial engineering concepts and applications.
- Analyze and annotate industrial engineering datasets to boost relevance and precision of AI-powered solutions.
- Deliver clear, technical feedback on process optimization, production planning, supply chain management, and operational efficiency tasks.
- Review AI-generated outputs for technical correctness, completeness, and adherence to industry standards.
- Identify gaps in training data, recommend high-quality data sources, and ensure accurate annotations for continuous model improvement.
- Serve as the subject matter expert on process improvement methodologies, Lean Six Sigma, and cutting-edge industrial technologies.
- Communicate complex technical concepts effectively in both written and verbal formats to diverse audiences.
- Master's degree or higher in Industrial Engineering or closely related field, OR 4+ years of relevant professional experience.
- Proven expertise in process improvement, production systems, quality management, operations research, or logistics optimization.
- Exceptional written and verbal communication skills, with strong attention to detail and clarity.
- Demonstrated ability to interpret process maps, schematics, statistical data, and technical documentation.
- Experience in workflow optimization, supply chain analysis, or manufacturing systems in roles such as Process Engineer, Operations Engineer, Quality Engineer, or Industrial Analyst.
- Proficiency in utilizing digital collaboration tools and thriving in remote work settings.
- Analytical mindset coupled with a proactive approach to problem-solving.
- Prior experience in AI model training, data annotation, or machine learning projects.
- Familiarity with AI, automation, and data-driven technologies in industrial engineering contexts.
- Advanced certifications such as Lean Six Sigma, PMP, or Supply Chain Optimization.
Corporate Staffing