clickworker

Human-powered data projects for digital products and AI

clickworker provides data collection, validation, labeling and categorization through a managed crowdsourcing platform. Businesses define a project, provide task instructions and quality criteria, and use the platform to distribute work to a global community of registered contributors. The service is positioned for projects that need flexible human input, from research and retail checks to data used in digital products and AI development.

Project types and services

• AI training data: collection and annotation of image, video, audio and text data, along with human validation.
• Surveys: tools for creating and managing online surveys, or access to a pool of respondents for external studies.
• Retail research: store checks and display audits to document product availability, placement and service conditions.
• Product and content tagging: categorization, color identification, feedback and sentiment analysis for catalogs, websites and apps.
• Crowdtesting: app, game and website testing, including usability, customer journeys and search relevance.
• Research and SEO: list building, email-address and price research, SEO copywriting and website traffic services.

Tasks can be configured with project briefings, filters and quality checks. The company describes its model as human-generated or human-validated work delivered through microtasks, and says projects can be tailored to different scales. Case studies include image-based product color identification, shelf-availability documentation and a survey on sound preferences for electric vehicles.

For organizations and contributors

Organizations can contact the managed-service and sales team for a custom project or use self-service tools for surveys and marketplace orders. Clickworkers use the company's app or desktop platform to access assigned microtasks and receive payment for completed work. The company lists offices in New York and Essen and describes a contributor network spanning 136 countries. It also publishes information about data security, privacy, qualification processes and quality assurance, which project owners should review when selecting a workflow for sensitive or regulated data.