Task Pools

Task pools are the central feature of Recur, designed to efficiently manage and distribute a wide variety of data labeling tasks. These pools are organized to ensure that tasks are matched with the most suitable contributors, optimizing the quality and speed of task completion.

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Task Categorization: Tasks within the platform are categorized based on several criteria, including complexity, subject matter, and required expertise level. This categorization facilitates efficient task matching by aligning tasks with contributors whose skills and interests best fit the requirements.

Dynamic Matching: The platform employs a dynamic matching system that considers multiple factors, including contributors' skills, reputation scores, past performance, and user preferences. This ensures that each task is assigned to a contributor who is both capable and likely to complete the task efficiently and accurately. By optimizing task distribution in this way, we enhance the overall quality of data labeling and ensure a streamlined workflow for all parties involved.

Urgent and High-Priority Tasks: To accommodate the varying priorities of tasks submitted to the platform, data uploaders can identify and prioritize urgent or high-importance tasks. Requesters can mark tasks as urgent or assign them a priority level at submission, which the platform then uses to adjust compensation rates and visibility among contributors. This ensures that critical tasks are completed in a timely manner, supporting the fast-paced development cycles of AI and ML projects.

Data providers can also increase task priority by increasing task pool token rewards, which creates a greater incentive for contributors to complete the task.

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Feedback and Dispute Resolution

A structured feedback and dispute resolution process allows contributors and task requesters to report issues or concerns with specific tasks. This process is designed to maintain high standards of quality and fairness. By fostering open communication and providing clear resolution paths, the platform ensure a positive and productive environment for all users.

Fair and Equitable Task Distribution

Our platform is committed to fair and equitable task distribution, ensuring that all contributors have access to tasks that match their skills and interests. The dynamic matching system, along with visibility adjustments for urgent tasks, ensures that every contributor has the opportunity to participate and earn based on their capabilities and performance.

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