diff --git a/ground_truth_labeling_jobs/ground_truth_streaming_labeling_jobs/ground_truth_create_streaming_labeling_job.ipynb b/ground_truth_labeling_jobs/ground_truth_streaming_labeling_jobs/ground_truth_create_streaming_labeling_job.ipynb
index c3c7f274a3..ff82bb5df0 100644
--- a/ground_truth_labeling_jobs/ground_truth_streaming_labeling_jobs/ground_truth_create_streaming_labeling_job.ipynb
+++ b/ground_truth_labeling_jobs/ground_truth_streaming_labeling_jobs/ground_truth_create_streaming_labeling_job.ipynb
@@ -8,6 +8,9 @@
     "\n",
     "You can use a streaming labeling job to perpetually send new data objects to Amazon SageMaker Ground Truth to be labeled. Ground Truth streaming labeling jobs remain active until they are manually stopped or have been idle for more than 10 days. You can intermittently send new data objects to workers while the labeling job is active. \n",
     "\n",
+    "#### Note: Streaming Labeling Jobs are currently not supported on the Ground Truth Console. The way to work with this is launching the streaming job via api and viewing statistics on the Ground Truth labeling job.\n",
+    "\n",
+    "\n",
     "Use this notebook to create a Ground Truth streaming labeling job using any of the [built-in task types](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html). You can make necessary parameter changes for the custom workflow. You can either configure the notebook to create a labeling job using your own input data, or run the notebook on *default* mode and use provided, image input data. **To use your own input data, set `DEFAULT` to `False`**."
    ]
   },