diff --git a/.github/workflows/ci-testing.yml b/.github/workflows/ci-testing.yml
index a93b02a266..29711c0c62 100644
--- a/.github/workflows/ci-testing.yml
+++ b/.github/workflows/ci-testing.yml
@@ -70,6 +70,7 @@ jobs:
       run: |
         python -c "req = open('requirements.txt').read().replace('>', '=') ; open('requirements.txt', 'w').write(req)"
         python -c "req = open('requirements-extra.txt').read().replace('>', '=') ; open('requirements-extra.txt', 'w').write(req)"
+        python -c "req = open('tests/requirements-devel.txt').read().replace('>', '=') ; open('tests/requirements-devel.txt', 'w').write(req)"
 
     # Note: This uses an internal pip API and may not always work
     # https://github.com/actions/cache/blob/master/examples.md#multiple-oss-in-a-workflow
diff --git a/tests/models/test_restore.py b/tests/models/test_restore.py
index a8ca14a300..8650b0fd89 100644
--- a/tests/models/test_restore.py
+++ b/tests/models/test_restore.py
@@ -3,6 +3,7 @@ import logging as log
 import os
 import pickle
 
+import cloudpickle
 import pytest
 import torch
 
@@ -273,3 +274,4 @@ def test_model_saving_loading(tmpdir):
 def test_model_pickle(tmpdir):
     model = EvalModelTemplate()
     pickle.dumps(model)
+    cloudpickle.dumps(model)
diff --git a/tests/requirements-devel.txt b/tests/requirements-devel.txt
index 2a940b1eb3..4261c72dbb 100644
--- a/tests/requirements-devel.txt
+++ b/tests/requirements-devel.txt
@@ -4,4 +4,4 @@
 # extended list of dependencies dor development and run lint and tests
 -r ./requirements.txt
 
-cloudpickle
\ No newline at end of file
+cloudpickle>=1.2
\ No newline at end of file
diff --git a/tests/trainer/test_trainer.py b/tests/trainer/test_trainer.py
index 77f9db8118..bf4c8198e3 100644
--- a/tests/trainer/test_trainer.py
+++ b/tests/trainer/test_trainer.py
@@ -1,9 +1,11 @@
 import glob
 import math
 import os
+import pickle
 import types
 from argparse import Namespace
 
+import cloudpickle
 import pytest
 import torch
 
@@ -671,10 +673,12 @@ def test_gradient_clipping(tmpdir):
         grad_norm = torch.norm(torch.stack([torch.norm(p.grad.detach(), 2) for p in parameters]), 2)
         assert (grad_norm - 1.0).abs() < 0.01, "Gradient norm != 1.0: {grad_norm}".format(grad_norm=grad_norm)
 
-    trainer = Trainer(max_steps=1,
-                      max_epochs=1,
-                      gradient_clip_val=1.0,
-                      default_root_dir=tmpdir)
+    trainer = Trainer(
+        max_steps=1,
+        max_epochs=1,
+        gradient_clip_val=1.0,
+        default_root_dir=tmpdir
+    )
 
     # for the test
     model.optimizer_step = _optimizer_step
@@ -824,3 +828,12 @@ def test_trainer_subclassing():
     # when we pass in an unknown arg, the base class should complain
     with pytest.raises(TypeError, match=r"__init__\(\) got an unexpected keyword argument 'abcdefg'"):
         TrainerSubclass(abcdefg='unknown_arg')
+
+
+def test_trainer_pickle(tmpdir):
+    trainer = Trainer(
+        max_epochs=1,
+        default_root_dir=tmpdir
+    )
+    pickle.dumps(trainer)
+    cloudpickle.dumps(trainer)