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

# iMerit Values

### **Commitment to Quality**

**We ask for clear, concise communication and high-quality work.** You should commit to producing **thorough analysis** and **seeing projects** through. 

It requires commitment to become expert at training LLMs, and it is worth it.

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**How do I demonstrate a Commitment to Quality?**

* Consider a new project with Scholars as **the beginning of a potential career in AI training.** While our work can be flexible, **the more seriously you take the role**, the higher quality your work will be, and the **more opportunities you will gain.**
* Make sure you are able to **concentrate fully** on your work with no distractions
* Take the time to carefully check **spelling**, **grammar** and **punctuation**
* If you receive **quality feedback** or see feedback given to others in the group, make sure you take this onboard so that your quality can increase.
  {% endhint %}

### Dependability 

We need team members who read **guidelines**, meet **deadlines**, take **responsibility** for their tasks, and keep **information secure**. **Reliability** and **confidentiality** are key.

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**How do I show Dependability?**

* Ensure you have **sufficient time in your schedule** for the demands of AI training work. While our projects are often flexible, this is often **mentally-demanding work** that cannot be performed successfully when you are distracted, tired or juggling other tasks.
* **Read our guidelines** and **study them thoroughly** before asking for help. **We always find** that candidates who read our provided information carefully will perform at a higher standard than those that do not. 
* **Do not leave tasks to the last minute.** Candidates who **start promptly** and **submit work on a consistent basis** get feedback earlier and learn the task more quickly than others.
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### Flexibility

We seek individuals who **adapt to new tools**, **guidelines**, and **changing processes**—always ready to **learn** and **grow** in a fast-evolving field. 

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**How do I demonstrate Flexibility?**

* The world of AI is always changing. Spend a little time each week learning about new trends, and you will see the broader reason why continuous learning is essential. Read any weekly AI-related articles available in our community space.
* **Learn and use technical tools reliably**
* **Read documentation before asking basic questions**
* **Stay up to date with our FAQs and new project guidelines.** As projects progress, **guidelines can change,** so it is important to check back in regularly.
  {% endhint %}

### Respect & Communication

We value collaborators who **welcome feedback**, appreciate **diverse** **perspectives**, and contribute to a **positive, supportive** team environment.

**We expect candidates to communicate with us and their peers, promptly, clearly and proactively.**

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**How do I show Respect and Communication?**

* Try to **learn as much as possible** about the **project** you are working on, who the **team members** you will need to contact, and **details like deadlines and meeting times**.
* For any training session or meeting, **make sure you attend on time** so that you do not miss information or delay other people's progress. **If you miss a required meeting, you may not be able to continue a project.**
* Make sure that you speak and message everyone you work with in a **professional and courteous manner.** 
* Give others the benefit of the doubt when you are using chat messages, as it is easy for misinterpret people's intentions.
  {% endhint %}

### Integrity 

We look for people who use **rigorous**, **logical**, and **ethical** **reasoning**—no [plagiarism](/scholars/ai-training-and-integrity.md), no cutting corners. You should ensure your work is **accurate** and **trustworthy**.

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**How do I show Integrity?**

* Make sure you **completely understand our requirements** around [Plagiarism and use of AI](/scholars/ai-training-and-integrity.md). These are absolutely fundamental to our work.
* When providing work for us, **be ready to explain your choices** to justify the decisions you are making. 
* **Focus on breaking down complex problems into smaller, manageable steps**, explicitly outlining your reasoning process, considering multiple perspectives, and regularly evaluating your intermediate conclusions to identify potential flaws.
* <mark style="color:red;">**When a problem is too difficult or outside of your area of expertise, do not be afraid to communicate this. It is far better to admit defeat than to submit low-quality work.**</mark>
  {% endhint %}

### Impact Awareness

**Even the smallest part of AI training affects the whole.** You should be familiar with the **purpose** behind the project you are working on, and exercise good judgment about **relevance** and **cultural considerations**, ensuring your work aligns with shared goals.

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**How do I show Impact Awareness?**

* Ensure you **fully understand the fundamental problem statement** for the task that you are working on.&#x20;
* **Consider learning more about the broader world of AI training,** so that you can understand the bigger picture. There are dozens of free video training courses that you can take (for example, [this is a good entry-level video](https://youtu.be/Yq0QkCxoTHM)).
  {% endhint %}