Manufacturing and Industrial Process Reviewer

IXO is engaging specialists to evaluate production and industrial systems evaluated for practical quality and efficiency. Your contribution is technical work: make the reasoning inspectable, identify substantive errors and provide evidence that supports a reliable assessment.

Work you will do

• Develop cases involving process design, production planning, facility layout, logistics or work measurement.
• Assess quality systems, maintenance, safety, ergonomics and optimization decisions within the applicable track.
• Write reference reasoning and evaluation feedback that explains operational trade-offs, standards and the difference between a plausible plan and a workable process.

Required background and routes

• Industrial-engineering route: an accredited bachelor's in industrial/systems or related engineering and demonstrated engineering, improvement or operations-management practice.
• Manufacturing route: a relevant manufacturing, mechanical, industrial or operations bachelor's, or equivalent professional experience, with proven production/operations or industrial-engineering expertise.

Preferred background

• Several years across production, logistics or service environments; improvement programs, standards/publications, PE, Lean Six Sigma or advanced study.
• Technology-enabled manufacturing, IIoT or Industry 4.0 familiarity is useful.

Deliverables

Submit the completed technical artifact or assessment with its supporting evidence, explicit assumptions, reproducible checks where applicable, and concise reasons for each material judgment. Address review findings within the agreed scope.

Location and schedule

Remote assignments are scheduled by agreement, with no guaranteed weekly volume. IXO confirms the applicable timing before work.

Pay and working terms

$80 - $125/hr USD. The agreed hourly rate, scope, schedule and acceptance criteria are confirmed before work starts. Applying does not guarantee an assignment. Use public, licensed or otherwise authorized material only; do not submit confidential employer information, personal data or restricted research.