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MEP Domain Expert at CloudFactory

posted 3 hours ago
Job Overview
Employment FullTime
Location Nairobi Kenya
Experience At least 1-3 years
Education Level Bachelor's Degree
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Opportunities Meet Aspirations

About the Role

We are seeking MEP (Mechanical, Electrical, Plumbing) domain experts with demonstrated experience working with US construction documentation and standards to support high-accuracy annotation and data preparation for construction product and document intelligence workflows.

This is a desk-based analytical role focused on interpreting US-region technical documentation and extracting structured data with precision.

What You’ll Do

Review and interpret:

  • Product models, SKUs, variants, families
  • Manufacturer and distributor product data
  • Construction documents (specifications, data sheets, plans, schedules)

Accurately extract and validate:

  • Model numbers
  • Manufacturers
  • Technical attributes
  • Performance specifications
  • Catalog references

Work with:

  • Technical catalogs and data sheets
  • Lind drawings and plans
  • Construction schedules and bid documents
  • BIM-related documentation

Conduct independent research using:

  • Manufacturer websites
  • Distributor platforms
  • Construction reference resources

Requirements

  • Bachelor’s degree in Civil, Mechanical, or Electrical Engineering
  • 1 to 3 years of experience in one of the following:
    • MEP design or consultancy
    • MEP product sales or technical specification roles
    • Technical documentation or engineering support
  • Experience working with US construction documentation, including one or more of:
    • US specifications (CSI MasterFormat)
    • US electrical standards (NEC)
    • ASHRAE standards
    • UL listings and compliance references
    • US HVAC or plumbing product documentation
    • US-based project plans and schedules
  • Strong understanding of MEP systems and components, technical documentation formats, product specifications and engineering attributes
  • High attention to detail and structured analytical thinking

Preferred:

  • Prior experience in technical or domain-specific annotation
  • Exposure to AI/ML data preparation or structured data validation


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