---
title: "Create Manual label jobs"
slug: "create-manual-label-job"
updated: 2025-10-08T10:48:52Z
published: 2025-10-08T10:48:52Z
canonical: "docs.akridata.ai/create-manual-label-job"
---

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

# Create Manual label jobs

In manual labeling, a label specification is assigned to a manual labeling job, where a human annotator performs the labeling. Manual labeling can refine auto-generated labels or create a seed set for specifying auto-labeling jobs. In certain niche domains, manual labeling can be used as the only labeling workflow. This article explains how to create a manual label job for a label spec.

Refer to the following video on [submitting a manual label job](https://akridata-ai.portal.trainn.co/share/wumMFShy6c4TweGSE4bJvw).

[Embedded content](https://akridata-ai.portal.trainn.co/share/wumMFShy6c4TweGSE4bJvw/embed)

## Create manual label job

1. In the left navigation pane, navigate to **Data** > **Datasets**. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/navigation-dataset.jpg)
2. Locate the required Dataset for which you want to create a label job, and click the dataset card. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/dataset-voc-small(1).jpg)
3. Under the **General** tab of the page, click the **Catalog** button, which appears on the right-hand side.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/dataset-catalog-button(1).jpg)
4. On the catalog page, click the down arrowhead adjacent to the **Visualize** button on the top-right corner of the catalog page, and select **Auto Label**. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/manual-job.jpg)
5. In the **New Labeling Job** screen, enter the **Job Name** and **Job Description**.
6. Select Job Type as **Manual Labeling Classification** or **Manual Labeling Object Detection,** depending on the spec type for which you are creating a labeling job.
7. Select the label spec for which you want to run the manual label job. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/manual-label-job-new.jpg)
8. Enable **Prelabeling**. Use this option if you already have images labeled during the auto label job, but you are unsure about the accuracy of the label, and would want to send such images for manual labeling.
9. Click **Submit**. The manual label job is submitted for manual labeling of the assigned label spec. Once the manual labeling is processed, you can find it on the Label Jobs page for review.
10. On the manual labeling jobs page, review the label job results and accept or reject them. This works similarly to reviewing the results for auto-label jobs.
  1. Navigate to **Label** > **Jobs**, and locate the manual label job.
  2. Click **Visualize** to open the label job page. The manual label job results appear under Expert Review Stats, based on the classes defined for manual labeling. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/expert-review.jpg)
11. Verify the accuracy of the manual label job results.

You can then create ResultSets based on the reviews and export them to the catalog.