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CloudFactory

AI-assisted data labeling and processing services

Construction Reality Capture Technician

Architecture & Civil EngineeringUpdated on Nov 11
Part-timeHutto, TX, USANo salary listed

About the Job

Requirements

  • Be available for one full weekday (8 to 10 hours) each week.
  • Be comfortable working on active construction sites and in varying outdoor conditions.
  • Be able to walk long distances and perform physical tasks throughout the day.
  • Demonstrate communication skills and commitment to safety awareness, including identifying and following general and site/client-specific protocols.
  • Have a valid OSHA 10 certification before the first day on-site; support and resources are available to complete the training before starting.
  • Wear steel-toed safety boots and full personal protective equipment, including a hard hat and high-visibility gear.
  • Have full-day availability for fixed project capture schedules, typically 8:00 AM–6:00 PM; the role is not compatible with after-hours work or flexible university schedules.
  • Be prepared to work outdoors in all weather conditions and walk 20,000 or more steps per day.
  • Follow a strict technical brief and systematic data-capture process.

Responsibilities

  • Operate 360-degree cameras and other surveying equipment to capture construction sites efficiently.
  • Document and communicate the progress of on-site work.
  • Follow all safety protocols and guidelines to protect personal safety and the safety of the site and equipment.
  • Collaborate with the Project Team to adapt to each project's needs and requirements.
  • Perform capture work on large-scale construction sites in Texas.

Desired Qualifications

  • Experience in construction, surveying, civil engineering, or similar fields.
  • Previous fieldwork or site-based work experience.
  • Technical orientation or familiarity with equipment.

About the Company

CloudFactory

AI-assisted data labeling and processing services

CloudFactory provides data labeling and data processing services using a managed workforce combined with AI-assisted labeling. It handles text, audio, and image annotation and specializes in financial document processing, healthcare AI data, retail automation, and geospatial AI initiatives. Clients can use CloudFactory’s platform to manage annotation work or integrate it with their own tools, enabling scalable, high-quality data for training AI models. The company differentiates itself through its large, experienced workforce (25+ million hours of data work) and its ability to deliver accurate labels five times faster than traditional methods, with faster turnaround and cost efficiency. Its goal is to help clients accelerate AI development and bring AI-powered solutions to market more quickly while optimizing business operations and reducing costs.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$78M
Headquarters
Durham, NC
Founded
2010

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