---
title: "AI Qualification Levels"
slug: "ai-qualification-levels"
updated: 2025-07-29T16:25:13Z
published: 2025-07-29T16:25:13Z
canonical: "help.talenteria.com/ai-qualification-levels"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://help.talenteria.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Qualification Levels

Talenteria uses AI to evaluate how well a candidate matches a job based on their resume, experience, education, and skills. To help you interpret these scores more clearly, you can configure **AI Qualification Levels** by defining custom score ranges for different match categories.

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## What Are AI Qualification Levels?

AI Qualification Levels break down the total AI match score (0–10 scale) into distinct ranges, each representing how well a candidate matches a job:

- **No Match** – The candidate does not meet the job criteria.
- **Minimal Match** – The candidate meets a few criteria but may need review.
- **Good Match** – The candidate aligns well with the job and is likely worth shortlisting.
- **Perfect Match** – The candidate strongly matches all job requirements.

These levels allow recruiters to quickly scan and filter candidates by match quality.

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## How to Configure the Levels

![](https://cdn.document360.io/ae8040b0-f92a-4262-a61d-9d836fcbb559/Images/Documentation/image-1753806289459.png)

1. **Navigate to Settings** Go to the **Settings** section in the Talenteria admin panel.
2. **Open AI Qualification Levels** Find the section titled **AI Qualification Levels**.
3. **Adjust Score Ranges**
  - Use the sliders to define the numeric range for each qualification level.
  - Example:
    - No Match: 0 – 5
    - Minimal Match: 5 – 7.5
    - Good Match: 7.5 – 9
    - Perfect Match: 9 – 10
4. **Add or Remove Levels** (optional) Use the **➕ Add** or **➖ Remove** buttons to customize the number of levels to fit your organization’s evaluation style.
5. **Click “Update”** Don’t forget to save your changes to apply the new levels system-wide.

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## Tips

- You can modify the **labels** (e.g., rename “Minimal Match” to “Needs Review”).
- These ranges affect how candidate cards and reports visually categorize match quality.
- Adjust these levels as your hiring criteria evolve over time.

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Custom AI Qualification Levels help teams prioritize candidates more effectively and speed up decision-making during the screening process.