A Job runs pods to completion and is the right choice for batch work: database migrations, data imports, report generation, one-off scripts. Unlike a Deployment it is not meant to stay running forever. The Job YAML Generator writes that manifest from a form so you do not have to recall the batch/v1 schema.
You set the Job name and, optionally, a namespace and labels. Then you configure how it runs: completions (how many pods must succeed), parallelism (how many run concurrently), backoffLimit (retries before failure) and optional activeDeadlineSeconds and ttlSecondsAfterFinished. The pod template requires a restartPolicy - OnFailure or Never - and you add containers with a name, image, optional command/args and environment variables.
The name is validated as an RFC 1123 label, at least one container with a name and image is required, and numeric fields must be non-negative integers. Problems are reported in a clear panel. Everything runs locally and nothing is uploaded.