C

CloudFactory

AI-assisted data labeling and processing services

Construction Site Data Capture Technician

Full-Time
No salary listed
Entry
Shrewsbury, UK
In Person
Creative ProductionPhotography

About the job

Requirements
  • Availability to work at least one full day per week on Friday during daytime hours.
  • Comfort working on active construction sites while following all safety requirements.
  • Ability to walk up to 20,000+ steps per day and perform light physical activities.
  • Willingness to wear required personal protective equipment and work in various weather conditions.
  • Ability to use smartphones, tablets, or other technology to capture and record data.
  • A valid CSCS card is required before the first day on-site; support and resources are available to complete the required training before starting.
  • Steel-toed safety boots are mandatory at all times.
  • Availability for fixed full-day shifts, typically from 8:00 AM to 6:00 PM.
  • Ability to follow a strict technical brief and complete systematic data capture accurately and consistently.
Responsibilities
  • Capture high-quality site data using 360-degree cameras and other data capture equipment across active construction sites.
  • Document site progress by collecting visual data that supports project tracking and AI-powered construction solutions.
  • Follow site safety procedures and wear the required personal protective equipment at all times.
  • Work closely with the Project Team Lead to meet project requirements and adapt to changing site conditions.
  • Handle and maintain company equipment responsibly.
  • Ensure all captured data meets quality standards.
  • Follow detailed instructions and complete data capture tasks accurately and consistently.
Desired Qualifications
  • Previous fieldwork experience.
  • A background in Construction, Surveying, Civil Engineering, Architecture, Site Inspections, Photography, or Reality Capture.

About the company

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, North Carolina

Founded

2010

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Simplify Jobs

Simplify's Take

What believers are saying

  • Park Ha Biological partnered with Cloud Factory on June 23, 2026, expanding credibility.
  • CloudFactory's blog emphasizes 2026 demand for forward-deployed engineering and human-in-the-loop safety.
  • Customer case studies cite 53 wins, including 99% accuracy and 70% cost reduction.

What critics are saying

  • CloudFactory still depends on labor-intensive annotation economics while rivals automate faster in 2026.
  • A misstep in enterprise AI platforms would trap CloudFactory in low-margin services competition.
  • Geopolitics and customer concentration risk rise if Hong Kong-listed Cloud Factory Technology stalls.

What makes CloudFactory unique

  • Kevin Johnston became CEO in January 2024, and Ajai Sharma joined July 2025.
  • CloudFactory blends managed human labeling with AI-assisted annotation, delivering 5x faster image labeling.
  • CloudFactory sells enterprise AI safety nets across data prep, orchestration, and human review.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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