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Platform For AI:Process labeling jobs

Last Updated:Apr 09, 2026

Process job packages through labeling, quality inspection, and acceptance to obtain labeled data.

Prerequisites

A labeling job has been created. For more information, see Create a labeling job.

Limitations

Only administrators and annotation administrators can perform labeling operations. To request the required permissions, see Manage workspace members.

Procedure

  1. Go to the iTAG page.

    1. Log on to the PAI console.

    2. In the left-side navigation pane, click Workspaces. On the Workspaces page, click the name of the workspace that you want to manage.

    3. In the left-side navigation pane, choose Data Preparation > iTAG.

  2. On the iTAG page, click Go to the iTAG Page in the upper-right corner to open iTAG.

  3. Inspect labeling quality.

    1. In the left-side navigation pane, click Quality Inspection Task.

    2. Review, modify, or reject labeled job packages.

  4. Accept labeling results.

    1. In the left-side navigation pane, click Acceptance Task.

    2. Accept, modify, or reject job packages.

  5. Claim a labeling job.

    1. In the upper-right corner of iTAG, select a workspace.

    2. In the left-side navigation pane, click Label Task, Quality Inspection Task, or Acceptance Task.

    3. In the Assignment Available section, find the job and click Grab the Order immediately.Claim a job

  6. Label data.

    1. On the labeling page, select a tool and label the data.

      Click a thumbnail in the task list on the left to switch between tasks in the job package.Label data

    2. After labeling all tasks, click Submit in the upper-right corner.

  7. Inspect labeling quality.

    1. In the left-side navigation pane, click Quality Inspection Task.

    2. Review, modify, or reject labeled job packages.

  8. Accept labeling results.

    1. In the left-side navigation pane, click Acceptance Task.

    2. Accept, modify, or reject job packages.

Next steps

Export labeling results from completed jobs for model training. For more information, see Export labeling results.