> For the complete documentation index, see [llms.txt](https://labelfi-1.gitbook.io/labelfi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://labelfi-1.gitbook.io/labelfi/basics/labelfi-data-labeling-services/4.6-labeling-tasks-features.md).

# 4.6 Labeling Tasks Features

The Labeling Tasks in Dataloop allow you to perform the following functions:

* Creating any number of tasks.
* Assigning statuses to items per task, with predefined and custom statuses alike.
* Editing tasks, such as adding items to a task, adding team members, changing configurations, etc.
* Using the distribution data-allocation method to plan individuals' workload within a task.
* Utilizing the pulling data allocation method for agility and scalability, adding the required workforce to meet deadlines and quality goals.
* Assigning assignments to ensure work continuity for inactive team members.
* Redistributing work to balance workloads.
* Using consensus tasks for a majority vote and high-quality data.

**Technical Architecture**

Labelfi’s technical architecture is built on the foundation of blockchain technology to offer a decentralized, secure, and scalable data labeling platform. The architecture prioritizes data security, privacy, and efficient data access while leveraging distributed storage to ensure high availability. Below, we explore how these features are incorporated into the platform.