This legacy version of AI Platform Data Labeling is deprecated and will no longer be available on Google Cloud after January 23, 2024. All the functionality of legacy AI Platform Data Labeling and new features are available on the Vertex AI platform. See Migrate to Vertex AI to learn how to migrate your resources.

Method: projects.evaluationJobs.patch

Updates an evaluation job. You can only update certain fields of the job's EvaluationJobConfig: humanAnnotationConfig.instruction, exampleCount, and exampleSamplePercentage.

If you want to change any other aspect of the evaluation job, you must delete the job and create a new one.

HTTP request


The URL uses gRPC Transcoding syntax.

Path parameters



Output only. After you create a job, Data Labeling Service assigns a name to the job with the following format:


Query parameters


string (FieldMask format)

Optional. Mask for which fields to update. You can only provide the following fields:

  • evaluationJobConfig.humanAnnotationConfig.instruction
  • evaluationJobConfig.exampleCount
  • evaluationJobConfig.exampleSamplePercentage

You can provide more than one of these fields by separating them with commas.

A comma-separated list of fully qualified names of fields. Example: "user.displayName,photo".

Request body

The request body contains an instance of EvaluationJob.

Response body

If successful, the response body contains an instance of EvaluationJob.

Authorization Scopes

Requires the following OAuth scope:


For more information, see the Authentication Overview.