Industrial Engineer - Process Optimization

Obsidian; San Francisco (CA); Hybrid; USD 96,000 - 165,000; Full time

Job summary

Mercor is seeking experienced Industrial Engineers to evaluate and improve AI-generated production plans, quality analyses, and workflows. You will apply your real-world expertise in designing production systems, quality control, and process optimization to assess accuracy and value of AI outputs.

Start date is immediate for a 4–6 week project. This is a task-based engagement with payment upon first task approval; experts who perform well will transition to hourly compensation for the remainder

Qualifications

• 4+ years of experience as an Industrial Engineer, Process Engineer, Quality Engineer, Continuous Improvement Engineer, Operations Engineer, or related role.
• Experience designing, developing, or evaluating integrated production systems including quality control, inventory control, logistics, cost analysis, or production coordination.
• Ability to commit 20+ hours per week.
• Strong written English communication skills.

Responsibilities

• Evaluate AI-generated production plans, process designs, quality analyses, and other industrial engineering artifacts for quality and accuracy.
• Compare AI-generated responses head-to-head based on engineering rigor, process efficiency, and quality-control soundness.
• Review industrial engineering scenarios involving production sequencing, cost analysis, quality standards, and logistics coordination and provide expert feedback.

Skills

Industrial engineering

Quality improvement

English communication

Job description

About the Role

Mercor is hiring experienced Industrial Engineers to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated industrial engineering content and workflows, leveraging your real-world expertise in designing production systems, quality control, and process optimization.

Key Responsibilities

• Evaluate AI-generated production plans, process designs, quality analyses, and other industrial engineering artifacts for quality and accuracy.

• Compare AI-generated responses head-to-head based on engineering rigor, process efficiency, and quality-control soundness.

• Review industrial engineering scenarios involving production sequencing, cost analysis, quality standards, and logistics coordination and provide expert feedback.

Required Qualifications

• 4+ years of experience as an Industrial Engineer, Process Engineer, Quality Engineer, Continuous Improvement Engineer, Operations Engineer, or another closely related industrial engineering role.

• Experience designing, developing, or evaluating integrated production systems including quality control, inventory control, logistics, cost analysis, or production coordination.

• Ability to commit 20+ hours per week.

• Strong written English communication skills.

Additional Information

• Start date: Immediate

• Duration: Approximately 4-6 weeks

• Payment: task-based (payment upon first task approval). Experts who complete their first task within the required timeline will then be qualified to be paid hourly for the remainder of the project.