Industrial Production Manager – AI Trainer
Location | Kampala, Uganda |
Date Posted | October 14, 2025 |
Category | Management |
Job Type | Full-time |
Currency | UGX |
Description

About the job
Job Title: Industrial Production Manager - AI Trainer
Job Type: Contract (Full-time or Part-time)
Location: Remote
Job Summary
Join our customer’s team as an Industrial Production Manager - AI Trainer and help shape the future of manufacturing technology. Use your extensive real-world expertise in plant operations, production management, and process optimization to inform and train advanced AI models. This unique role blends your leadership in industrial production with the exciting opportunity to influence how cutting-edge AI understands and supports manufacturing environments.
Key Responsibilities
- Simulate and communicate authentic production decision-making processes, including scheduling, resource allocation, and staffing strategies.
- Review and validate AI training data to ensure operational accuracy, process efficiency, and compliance with risk standards.
- Share insights on plant operations, quality benchmarks, and industry regulatory standards to enhance AI knowledge bases.
- Apply lean manufacturing principles to refine and curate AI data sets, ensuring real-world relevance and effectiveness.
- Advise on the design of AI model processes and workflows to reflect best practices in industrial management.
- Document and communicate production scenarios and strategies, leveraging exceptional written and verbal communication skills to support AI training teams.
- Collaborate remotely with technical experts to integrate practical manufacturing knowledge into AI development cycles.
Required Skills and Qualifications
- 7+ years of hands-on experience in industrial production roles such as Production Manager, Plant Manager, or Manufacturing Supervisor.
- Proven track record of team leadership, operational oversight, and driving continuous improvement initiatives.
- Deep understanding of manufacturing processes, KPIs, quality control standards, and operational analytics.
- Strong documentation skills and the ability to clearly articulate complex production concepts both in writing and verbally.
- Expertise in problem-solving, process optimization, and cross-functional collaboration.
- Demonstrated ability to adapt and communicate within remote, technology-driven environments.
Preferred Qualifications
- Experience with digital manufacturing platforms, automation systems, or AI/ML tools in an industrial setting.
- Background in Six Sigma, lean manufacturing, or industrial engineering principles.
- History of mentoring teams, developing SOPs, or creating training documentation for complex production processes.
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