> For the complete documentation index, see [llms.txt](https://perle.gitbook.io/perle-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://perle.gitbook.io/perle-docs/faq.md).

# FAQ

#### What is Perle Labs?

Perle Labs is a web3-enabled contributor platform that connects verified experts with AI teams to label, review, and validate high-quality data. Contributors complete structured tasks, such as annotation, evaluation, or verification, to help train and improve AI systems. In return, they earn points and reputation, which reflect their skill, accuracy, and consistency over time.

#### Who can join Perle Labs?

Anyone with professional or domain-specific knowledge can participate. This includes doctors, linguists, engineers, educators, researchers, and other subject-matter experts. To ensure quality, each new contributor completes a short qualification or training module before gaining access to live projects. The more accurate your work, the faster you unlock higher-value tasks and badges.

#### How do I earn rewards?

You earn points for every verified contribution. Rewards are based on:

* Accuracy and quality of your task completions
* Complexity of the project or domain
* Consistency over time (maintaining a strong performance streak)

All points are recorded transparently and visible in your Dashboard and Earnings sections. **In future releases**, these points will be convertible into onchain rewards distributed through the Solana blockchain.

#### What kind of work will I do?

Task types vary by project and category, but common examples include:

* **Labeling** text, audio, image, or video data
* **Evaluating** AI-generated outputs for accuracy and relevance
* **Reviewing** or improving prompts used in large language models
* **Validating** annotations completed by other contributors

Each task contributes to the creation of reliable, expert-labeled data for enterprise AI systems.

#### How does Perle Labs ensure data quality?

Perle Labs ensures enterprise-grade data quality through a combination of human expertise and transparent verification systems:

* **Expert Verification:** Only qualified contributors can perform specialized tasks.
* **Algorithmic Scoring:** Each submission is scored based on accuracy and consensus.
* **Reputation Tracking:** Contributor performance is continuously measured over time.
* **Peer Validation:** Select contributors review others’ work to maintain consistency.
* **Transparent Provenance:** All activity logs and performance data are verifiable onchain.

#### Why does Perle Labs use blockchain?

Blockchain enables trust, fairness, and transparency across a global contributor base.

By running on the [**Solana**](http://solana.com/) blockchain, Perle Labs can:

* Record contributions immutably for full provenance and auditability.
* Ensure instant, tamper-proof validation of contributor activity.
* Support fast, low-cost reward distribution worldwide.
* Maintain verifiable reputation scores while protecting contributor privacy.

Solana’s speed and scalability make it ideal for real-time AI data workflows.

#### Where can I find support?

If you need help:

* **Email:** <hello@perle.xyz>
* **Community:** Join us on [**Discord**](https://discord.gg/wsSwzfyp3z) and [**Telegram**](https://t.me/perlelabs) for updates, discussions, and real-time assistance.
* You can also use the “**Give Feedback**” button in your dashboard to share suggestions directly from the platform.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://perle.gitbook.io/perle-docs/faq.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.