Scaling AI training data collection to 250K+ contributors
Defined.

250K+
contributors
Multi-platform
web and mobile
Automated
quality control
The challenge
Defined.ai needed to scale their AI training data collection platform to handle 250,000+ contributors worldwide. The existing system couldn't handle the volume, and onboarding, task assignment, and quality control were becoming bottlenecks.
The solution
We rebuilt the contributor platform with a new onboarding flow, a task-matching engine that assigns work based on contributor expertise, and automated quality control that flags low-quality data for review. The platform handles mobile and web contributors across multiple languages.
The impact
The platform now supports 250,000+ contributors with significantly improved data throughput and quality. Contributor retention improved with the better UX.
Technologies used
ReactReact NativeNode.jsAWSPostgreSQL
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