In this remote, flexible role, you will design and evaluate industrial engineering scenarios that test the AI's ability to interpret and apply complex systems optimization and process improvement principles, ensuring that our models can navigate real-world production, logistics, and efficiency challenges with precision and technical accuracy. Your expertise will help bridge the gap between rigorous industrial engineering practice and innovative AI solutions, making a tangible impact on the future of engineering technology.
Why Apply
Competitive Compensation: Benefit from attractive hourly rates that reward your specialized industrial engineering expertise.
Innovative Impact: Work with a YC-backed startup revolutionizing AI with high-caliber engineering content and insights.
Flexible Engagement: Enjoy the freedom of a remote, asynchronous role that allows you to integrate your engineering expertise into pioneering projects on your own schedule.
Responsibilities
Develop high-quality industrial engineering questions and case studies that challenge AI models on topics such as process optimization, production planning, facility layout, quality control systems, supply chain design, work measurement, ergonomics, simulation modeling, and more.
Evaluate and validate model responses, offering detailed feedback to ensure technical accuracy and adherence to industrial engineering standards and best practices.
Collaborate with a team of engineering and technical experts to fine-tune question difficulty and ensure content is both challenging and educational.
Required skills
Exceptional analytical, written, and verbal communication skills, with a keen eye for detail.
Preferred skills
Multiple years of industrial engineering experience, ideally across diverse manufacturing, logistics, or service operations environments.
Prior involvement in engineering publications, standards development, or engineering technology initiatives.
Professional Engineer (PE) license, Lean Six Sigma certification, advanced degree (MS, PhD), or relevant certifications is a plus.
Familiarity with AI or technology-driven industrial engineering applications is a plus.
Experience and education
Bachelor's degree in Industrial Engineering, Systems Engineering, or related engineering discipline from an accredited program.
Proven experience in industrial engineering practice, process improvement, or operations management with a robust understanding of industrial engineering principles and methodologies.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.