Industrial Engineer - AI trainer

Join our customer's team as an Industrial Engineer - AI Trainer, where you will use your expertise to guide the development of next-generation AI in the industrial engineering sector. Share your knowledge to help AI systems understand efficiency challenges, model process optimization, and enhance productivity in manufacturing and production environments. Key Responsibilities:- Act as a subject matter expert (SME), providing insights on systems optimization, process mapping, and logistics for AI training purposes.- Design, develop, and evaluate integrated systems to streamline industrial production processes.- Collaborate with AI teams to translate real-world manufacturing scenarios into actionable datasets and training content.- Assess and refine AI outputs to ensure alignment with best practices in quality control, inventory management, and production coordination.- Model and document complex workflows, identifying inefficiency points and proposing solutions for process improvement.- Support the interpretation of cost analysis, human work factors, and material flow for AI learning modules.- Contribute to continual improvement of AI capabilities within industrial production contexts. Qualifications:- Proven experience in industrial engineering, focusing on optimizing production systems and processes.- Strong knowledge of process mapping, logistics, quality control, and systems integration.- Excellent written and verbal communication skills, with the ability to convey complex concepts clearly and effectively.- Demonstrated ability to work independently and manage part-time, remote commitments.- Experience collaborating with cross-functional teams, especially in technical or data-centric environments.- Strong analytical skills for evaluating efficiency, identifying bottlenecks, and recommending improvements.- Ability to distill operational challenges into practical solutions for AI training. Preferred Qualifications:- Prior experience training or developing content for artificial intelligence or machine learning applications.- Familiarity with AI/ML tools and the data annotation process in industrial settings.- Advanced degree in Industrial Engineering or a related field. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership - step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

Originally posted on Himalayas

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