> For the complete documentation index, see [llms.txt](https://landi-english.gitbook.io/landihandbook-2x/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://landi-english.gitbook.io/landihandbook-2x/pay-structure/referral-bonus.md).

# Referral Bonus

Landi English is always looking for talented and dedicated teachers to join our team.&#x20;

We offer up to 100 USD per successful referral teacher. :wink:&#x20;

![](/files/-MXFg61Nm0tNW_u5hcng)

### How to refer a friend?

{% hint style="success" %}
Send the CV plus your teacher ID to :point\_right: **<syrah.jiang@landi.com>** or

Use the Referral link or share button on your teacher’s page for a referral.&#x20;

Read this document for more details:

<https://drive.google.com/file/d/1ILcpLdY7OaJEWLOBeM3xKQGaYB9doF6C/view>
{% endhint %}

{% hint style="info" %}
\*Sometimes teachers would refer the same candidate.&#x20;

In such circumstances, the referral bonus will be paid to the first teacher based on chronological order.

\*Landi referral bonus will only apply to qualified Landi teachers. If your candidate joins other programs in our company, policies will be varied accordingly.
{% endhint %}

### When do I receive the bonus?

The bonus will be paid when your referrals pass the probationary period in conjunction with your monthly salary.


---

# 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:

```
GET https://landi-english.gitbook.io/landihandbook-2x/pay-structure/referral-bonus.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
