Offshoring Data Annotation & Entry to Cambodia
Engagement Model
Dedicated Team
Team Composition
3 Data Operators & 1 Project Manager
Customer Partnership
Over 4 Years of Ongoing Collaboration
Client Overview
Arlo Technologies is a leading provider of smart home security solutions, specializing in wireless surveillance cameras, video doorbells, and AI-powered monitoring systems. As they expanded their AI-driven capabilities, they required a scalable and precise data annotation process to enhance the accuracy of their machine learning models. Rather than building an in-house team, Arlo opted for an offshore annotation solution, leveraging our expertise to ensure high-quality labeling at scale while maintaining strict security compliance.
Objective
To support Arlo’s AI-powered security technology, we deployed a dedicated team of data annotators in Cambodia, ensuring accurate object detection and classification for their machine learning models. Our goal was to provide a cost-effective, scalable solution while maintaining the highest quality and security standards.
Seamless Onboarding & Integration
Aligned workflows, secured VPN access, and enforced data protocols.
Training & Workforce Development
Vetted and trained annotators, maintaining 98%+ accuracy through quality control.
Scalability & Cost Efficiency
Scaled workforce flexibly, cutting costs by 50-70% and leveraging time zone advantages.
Quality assurance & Optimization
Applied multi-step validation to enhance data accuracy and consistency.
Workflow & Security Tools
V7 Darwin
Bounding Box Annotation
Image & Video Annotation
Global Protect VPN
Workflow Optimization
Quality Control
Secure & Scalable
Data Annotation
Enhancing Machine Learning Accuracy with a High-Quality Offshore Annotation Pipeline for Arlo Technologies
Our offshore team built a secure and efficient data annotation pipeline for Arlo Technologies, ensuring high-quality labeling to enhance their AI-driven security solutions. By integrating directly with Arlo’s platform via GlobalProtect VPN, we maintained strict data security while optimizing annotation workflows. Our annotators specialized in bounding box annotation, adhering to precise labeling standards to improve machine learning accuracy.
To ensure maximum efficiency, we implemented multi-tier quality control, achieving 98%+ annotation accuracy while maintaining a scalable and cost-effective workforce. Our structured workflow enabled high-volume data processing, accelerating AI model training and refinement.
Beyond annotation, we continue to monitor performance, optimize processes, and refine validation steps to maintain consistent data quality. Our offshore solution not only reduces operational costs but also provides Arlo with a reliable and scalable framework for continuous AI development.
Operational Efficiency
Streamlined data annotation processes, enabling faster AI model training.
Significant Cost Savings
Significant Cost Savings
Achieved major reductions in labor and operational costs.
Scalability on Demand
Rapid team expansion for high-volume annotation periods.
Enhanced Data Quality
Maintained high-accuracy annotation with rigorous quality control.
Results
By offshoring data annotation and entry to Cambodia, Arlo Technologies gained a scalable, cost-effective, and high-quality solution that accelerated their AI-driven smart access technology development.
Conclusion
By offshoring data annotation to Cambodia, Arlo Technologies enhanced its AI model performance while significantly reducing operational costs. Our structured annotation process ensured scalable, high-accuracy labeling, accelerating AI-powered security advancements.
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