This is a remote, project-based role for reliability, quality, process and test engineers with 3+ years of full time experience who use statistics in their work.
Industrial & Manufacturing Engineers (Must own MacBook)
Job description
Role Overview:
Mercor is looking for industrial and manufacturing engineers with 2-3 years of professional experience, or currently enrolled postgrad engineering students, to support a research project with a leading AI lab. You will work through real process, operations, and production engineering workflows on your own Mac to help benchmark and improve cutting-edge AI models.
Qualifications:
Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.
Degree in Industrial, Manufacturing, or Systems Engineering, or a related field
Experience with process design, lean/Six Sigma, production planning, quality control, or supply chain analysis using spreadsheets, CAD, process-mapping, or statistical tools
Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
Ability to clearly explain your engineering decisions while you work
Excellent written and verbal communication skills
Job Details:
Part-time commitment of approximately 10-20 hours per week
Responsibilities include completing and narrating real industrial and manufacturing engineering tasks on your Mac to create high-quality training data for advanced AI models
Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
Immediate start preferred
Application and Onboarding Process:
Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
Complete a brief paid assessment to further evaluate your fit for the role
You will receive follow-up communication within a few days regarding your application status and next steps
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