diff --git a/src/sagemaker/estimator.py b/src/sagemaker/estimator.py
index d6a0fc9546..15763d844b 100644
--- a/src/sagemaker/estimator.py
+++ b/src/sagemaker/estimator.py
@@ -865,10 +865,6 @@ def _prepare_debugger_for_training(self):
         self.debugger_rule_configs = self._prepare_debugger_rules()
         self._prepare_collection_configs()
         self._validate_and_set_debugger_configs()
-        if not self.debugger_hook_config:
-            if self.environment is None:
-                self.environment = {}
-            self.environment[DEBUGGER_FLAG] = "0"
 
     def _validate_and_set_debugger_configs(self):
         """Set defaults for debugging."""
diff --git a/tests/integ/test_debugger.py b/tests/integ/test_debugger.py
index f426985211..7dc5560ee4 100644
--- a/tests/integ/test_debugger.py
+++ b/tests/integ/test_debugger.py
@@ -18,7 +18,6 @@
 import pytest
 
 from sagemaker.debugger.debugger import (
-    DEBUGGER_FLAG,
     DebuggerHookConfig,
     Rule,
     rule_configs,
@@ -749,7 +748,6 @@ def test_mxnet_with_debugger_hook_config_disabled(
         job_description = mx.latest_training_job.describe()
 
         assert job_description.get("DebugHookConfig") is None
-        assert job_description.get("Environment", {}).get(DEBUGGER_FLAG) == "0"
 
 
 def _get_rule_evaluation_statuses(job_description):
diff --git a/tests/unit/sagemaker/tensorflow/test_estimator.py b/tests/unit/sagemaker/tensorflow/test_estimator.py
index 37e548de9e..2e7576421f 100644
--- a/tests/unit/sagemaker/tensorflow/test_estimator.py
+++ b/tests/unit/sagemaker/tensorflow/test_estimator.py
@@ -483,7 +483,6 @@ def test_fit_ps(time, strftime, sagemaker_session):
     expected_train_args = _create_train_job("1.11", ps=True, py_version="py2")
     expected_train_args["input_config"][0]["DataSource"]["S3DataSource"]["S3Uri"] = inputs
     expected_train_args["hyperparameters"][TensorFlow.LAUNCH_PS_ENV_NAME] = json.dumps(True)
-    expected_train_args["environment"] = {"USE_SMDEBUG": "0"}
 
     actual_train_args = sagemaker_session.method_calls[0][2]
     assert actual_train_args == expected_train_args
diff --git a/tests/unit/sagemaker/workflow/test_steps.py b/tests/unit/sagemaker/workflow/test_steps.py
index 42157272b0..89a65e30b3 100644
--- a/tests/unit/sagemaker/workflow/test_steps.py
+++ b/tests/unit/sagemaker/workflow/test_steps.py
@@ -26,7 +26,7 @@
     patch,
 )
 
-from sagemaker.debugger import DEBUGGER_FLAG, ProfilerConfig
+from sagemaker.debugger import ProfilerConfig
 from sagemaker.estimator import Estimator
 from sagemaker.tensorflow import TensorFlow
 from sagemaker.inputs import TrainingInput, TransformInput, CreateModelInput
@@ -485,7 +485,6 @@ def test_training_step_tensorflow(sagemaker_session):
                 "sagemaker_distributed_dataparallel_custom_mpi_options": '""',
             },
             "ProfilerConfig": {"S3OutputPath": "s3://my-bucket/"},
-            "Environment": {DEBUGGER_FLAG: "0"},
         },
         "CacheConfig": {"Enabled": True, "ExpireAfter": "PT1H"},
     }