The work
Create industrial engineering questions, case studies, and scenarios that test how AI systems handle engineering and operations problems. Review generated answers for technical accuracy, completeness, and alignment with established standards and practices.
You will also give detailed feedback to improve answer quality and question difficulty, and work with engineering and technical experts to keep the material challenging, useful, and technically sound.
- Develop challenges about process optimization, production planning, facility layout, quality control, supply chain design, work measurement, ergonomics, and simulation modeling.
- Assess AI responses and explain where they are accurate, incomplete, or need improvement.
What it pays and takes
- Pay: $95 per hour.
- Time commitment: 20+ hours per week.
- Work type: Contract, part-time.
- Location: Open to candidates in the eligible countries listed for this role, spanning Africa, Asia, Europe, the Americas, and Oceania.
- Language: Professional fluency in English.
- Education: A bachelor's degree in industrial engineering, systems engineering, or a related engineering field from an accredited program.
- Experience: Proven experience in industrial engineering practice, process improvement, or operations management.
- Skills: Strong knowledge of industrial engineering methods, analytical ability, clear written and verbal communication, and close attention to detail.
- Helpful background: Experience in manufacturing, logistics, or service operations; work on engineering publications, standards, or technology initiatives; or familiarity with AI applications in industrial engineering.
- Helpful credentials: A Professional Engineer license, Lean Six Sigma certification, an advanced degree, or another relevant certification.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work involves creating and reviewing examples that help AI systems learn, including questions and feedback on model responses. Industrial engineering expertise helps ensure that technical examples and evaluations are accurate and grounded in established practices.