clickworker
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Crowdsourcing platform for developers
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clickworker Product Information
clickworker Overview
Clickworker is a crowdsourcing platform that connects businesses needing human-powered tasks with a global workforce of over 4.5 million workers. It is used for tasks that require human judgment - content moderation, data annotation and labeling for AI training, text creation, web research, and surv...
This product stands out with features such as:
- •AI Training Data: Collect and label data for machine learning model training
- •Content Moderation: Human review of content for policy compliance
- •Data Annotation: Label images, text, audio, and video for AI training
- •Text Creation: Generate human-written content at scale
- •Web Research: Structured web research tasks completed by humans
- •Survey Platform: Access to a diverse global survey panel
- •Quality Assurance: Multi-step quality checking for task outputs
- •API Integration: Programmatic task submission and result retrieval
How to Use Clickworker
Get started in a few simple steps
Define Your Task
Sign up at clickworker.com and define the task you need completed - data labeling specifications, content guidelines, research questions, or other task parameters.
Launch Your Project
Submit your task to the Clickworker platform. Tasks are distributed to qualified workers from the global workforce and completed according to your specifications.
Review and Retrieve Results
Access completed work through the dashboard or API. Quality assurance processes validate outputs before delivery to ensure results meet your specifications.
clickworker's Core Features in Detail
Powerful features from clickworker
Human Judgment at Scale
Many tasks that AI cannot yet do reliably - nuanced content moderation, subjective quality judgments, complex data labeling - require human workers. Clickworker provides those humans at scale
AI Training Data Pipeline
Machine learning models need large volumes of labeled training data. Clickworker's workforce can label datasets far faster and more cost-effectively than building an internal labeling team
Global Workforce Diversity
4.5 million workers across many countries provides demographic and linguistic diversity that matters for training AI models that need to work across different populations
Flexible Scaling
Workforce capacity can be scaled up or down based on project needs without the hiring overhead of building a permanent team
clickworker Use Cases
Discover how clickworker can benefit different users
AI and ML Teams Needing Training Data
Machine learning engineers use Clickworker to collect and label the training data that their models need without building a dedicated labeling operation
Trust and Safety Teams
Platforms with user-generated content use Clickworker for human content moderation that handles the edge cases and nuance that automated systems miss
Market Research Organizations
Research companies use Clickworker's survey panel for primary research data collection across diverse global populations