diff --git a/labelbox/schema/export_params.py b/labelbox/schema/export_params.py
index af257cfdd..234be78d5 100644
--- a/labelbox/schema/export_params.py
+++ b/labelbox/schema/export_params.py
@@ -16,7 +16,7 @@ class DataRowParams(TypedDict):
 
 class ProjectExportParams(DataRowParams):
     project_details: Optional[bool]
-    labels: Optional[bool]
+    label_details: Optional[bool]
     performance_details: Optional[bool]
 
 
diff --git a/labelbox/schema/model_run.py b/labelbox/schema/model_run.py
index 48e118703..5d4223c65 100644
--- a/labelbox/schema/model_run.py
+++ b/labelbox/schema/model_run.py
@@ -487,10 +487,10 @@ def export_v2(self,
                     # Arguments locked based on exectuion context
                     "includeProjectDetails":
                         False,
-                    "includeLabels":
-                        False,
                     "includePerformanceDetails":
                         False,
+                    "includeLabelDetails":
+                        False
                 },
             }
         }
diff --git a/labelbox/schema/project.py b/labelbox/schema/project.py
index 840dc0cd3..05f8f4646 100644
--- a/labelbox/schema/project.py
+++ b/labelbox/schema/project.py
@@ -406,8 +406,8 @@ def export_v2(self,
             "metadata_fields": False,
             "data_row_details": False,
             "project_details": False,
-            "labels": False,
-            "performance_details": False
+            "performance_details": False,
+            "label_details": False
         })
 
         mutation_name = "exportDataRowsInProject"
@@ -431,10 +431,10 @@ def export_v2(self,
                         _params.get('data_row_details', False),
                     "includeProjectDetails":
                         _params.get('project_details', False),
-                    "includeLabels":
-                        _params.get('labels', False),
                     "includePerformanceDetails":
                         _params.get('performance_details', False),
+                    "includeLabelDetails":
+                        _params.get('label_details', False)
                 },
             }
         }
diff --git a/tests/integration/annotation_import/test_model_run.py b/tests/integration/annotation_import/test_model_run.py
index 00f627eca..3d0927fb5 100644
--- a/tests/integration/annotation_import/test_model_run.py
+++ b/tests/integration/annotation_import/test_model_run.py
@@ -117,7 +117,51 @@ def test_model_run_export_labels(model_run_with_model_run_data_rows):
     assert len(labels) == 3
 
 
-@pytest.mark.skip(reason="feature under development")
+@pytest.mark.skipif(condition=os.environ['LABELBOX_TEST_ENVIRON'] == "onprem",
+                    reason="does not work for onprem")
+def test_model_run_status(model_run_with_model_run_data_rows):
+
+    def get_model_run_status():
+        return model_run_with_model_run_data_rows.client.execute(
+            """query trainingPipelinePyApi($modelRunId: ID!) {
+            trainingPipeline(where: {id : $modelRunId}) {status, errorMessage, metadata}}
+        """, {'modelRunId': model_run_with_model_run_data_rows.uid},
+            experimental=True)['trainingPipeline']
+
+    model_run_status = get_model_run_status()
+    assert model_run_status['status'] is None
+    assert model_run_status['metadata'] is None
+    assert model_run_status['errorMessage'] is None
+
+    status = "COMPLETE"
+    metadata = {'key1': 'value1'}
+    errorMessage = "an error"
+    model_run_with_model_run_data_rows.update_status(status, metadata,
+                                                     errorMessage)
+
+    model_run_status = get_model_run_status()
+    assert model_run_status['status'] == status
+    assert model_run_status['metadata'] == metadata
+    assert model_run_status['errorMessage'] == errorMessage
+
+    extra_metadata = {'key2': 'value2'}
+    model_run_with_model_run_data_rows.update_status(status, extra_metadata)
+    model_run_status = get_model_run_status()
+    assert model_run_status['status'] == status
+    assert model_run_status['metadata'] == {**metadata, **extra_metadata}
+    assert model_run_status['errorMessage'] == errorMessage
+
+    status = ModelRun.Status.FAILED
+    model_run_with_model_run_data_rows.update_status(status, metadata,
+                                                     errorMessage)
+    model_run_status = get_model_run_status()
+    assert model_run_status['status'] == status.value
+
+    with pytest.raises(ValueError):
+        model_run_with_model_run_data_rows.update_status(
+            "INVALID", metadata, errorMessage)
+
+
 def test_model_run_export_v2(model_run_with_model_run_data_rows,
                              configured_project):
     task_name = "test_task"
@@ -164,51 +208,6 @@ def download_result(result_url):
             assert prediction_id in label_ids_set
 
 
-@pytest.mark.skipif(condition=os.environ['LABELBOX_TEST_ENVIRON'] == "onprem",
-                    reason="does not work for onprem")
-def test_model_run_status(model_run_with_model_run_data_rows):
-
-    def get_model_run_status():
-        return model_run_with_model_run_data_rows.client.execute(
-            """query trainingPipelinePyApi($modelRunId: ID!) {
-            trainingPipeline(where: {id : $modelRunId}) {status, errorMessage, metadata}}
-        """, {'modelRunId': model_run_with_model_run_data_rows.uid},
-            experimental=True)['trainingPipeline']
-
-    model_run_status = get_model_run_status()
-    assert model_run_status['status'] is None
-    assert model_run_status['metadata'] is None
-    assert model_run_status['errorMessage'] is None
-
-    status = "COMPLETE"
-    metadata = {'key1': 'value1'}
-    errorMessage = "an error"
-    model_run_with_model_run_data_rows.update_status(status, metadata,
-                                                     errorMessage)
-
-    model_run_status = get_model_run_status()
-    assert model_run_status['status'] == status
-    assert model_run_status['metadata'] == metadata
-    assert model_run_status['errorMessage'] == errorMessage
-
-    extra_metadata = {'key2': 'value2'}
-    model_run_with_model_run_data_rows.update_status(status, extra_metadata)
-    model_run_status = get_model_run_status()
-    assert model_run_status['status'] == status
-    assert model_run_status['metadata'] == {**metadata, **extra_metadata}
-    assert model_run_status['errorMessage'] == errorMessage
-
-    status = ModelRun.Status.FAILED
-    model_run_with_model_run_data_rows.update_status(status, metadata,
-                                                     errorMessage)
-    model_run_status = get_model_run_status()
-    assert model_run_status['status'] == status.value
-
-    with pytest.raises(ValueError):
-        model_run_with_model_run_data_rows.update_status(
-            "INVALID", metadata, errorMessage)
-
-
 def test_model_run_split_assignment(model_run, dataset, image_url):
     n_data_rows = 10
     data_rows = dataset.create_data_rows([{
diff --git a/tests/integration/test_project.py b/tests/integration/test_project.py
index 206cab208..68483b8d8 100644
--- a/tests/integration/test_project.py
+++ b/tests/integration/test_project.py
@@ -42,7 +42,6 @@ def test_project(client, rand_gen):
     assert project not in projects
 
 
-@pytest.mark.skip(reason="feature under development")
 def test_project_export_v2(configured_project_with_label):
     project, _, _, label = configured_project_with_label
     label_id = label.uid