General AI Evaluation

Manufacturing Expert

ContractorRemote10 openings$40 - $65/hour

About this role

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Skills

Six SigmaProcess MappingRoot-cause AnalysisProduction Line OptimizationQuality AssuranceMechanical EngineeringDocumentationOperational ExcellenceEnglish CommunicationCross-functional Collaboration

Key responsibilities

  • Provide detailed feedback on manufacturing processes and best practices, drawing on deep domain experience.
  • Review and develop Six Sigma process maps, root-cause analysis reports, and production line efficiency models.
  • Evaluate and recommend improvements in assembly line and mechanical engineering operations.
  • Offer expertise in quality assurance (QA) and operational excellence strategies.
  • Create and review documentation for operational procedures and standards.
  • Collaborate with a global project team by communicating complex concepts in clear, concise English.
  • Deliver input on projects for our customer’s team that demand high attention to detail and industry insight.

Required skills & qualifications

  • 5-10+ years of hands-on experience in manufacturing, industrial engineering, quality assurance, or mechanical engineering.
  • Demonstrated expertise with Six Sigma, process mapping, and root-cause analysis.
  • Extensive experience optimizing production or assembly line efficiency.
  • Strong verbal and written communication skills in English—this is critical for the success of this project.
  • Ability to document, explain, and justify technical decisions and methodologies succinctly.
  • Proven track record of cross-functional collaboration in remote, multicultural teams.
  • Willingness to commit 10+ hours weekly to project tasks.

Preferred qualifications

  • Experience as an Operations / Industrial Engineer, QA Director, or Mechanical Engineer.
  • Familiarity with technology-enabled manufacturing environments.
  • Preference given to candidates based in the US, Canada, UK, but exceptional talent from Europe and LATAM also considered.
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