diff --git a/tensorflow_quantum/python/util_test.py b/tensorflow_quantum/python/util_test.py
index 00715899b..8860ba1f4 100644
--- a/tensorflow_quantum/python/util_test.py
+++ b/tensorflow_quantum/python/util_test.py
@@ -84,6 +84,61 @@ def test_get_supported_channels(self):
             len(serializer.SERIALIZER.supported_gate_types()) -
             len(util.get_supported_gates()))
 
+    @parameterized.named_parameters(
+        ('without_channels', False),
+        ('with_channels', True),
+    )
+    def test_random_circuit_resolver_batch_shapes_and_types(
+            self, include_channels):
+        """Confirm random_circuit_resolver_batch returns the expected types."""
+        qubits = cirq.GridQubit.rect(1, 3)
+        batch_size = 4
+
+        circuits, resolvers = util.random_circuit_resolver_batch(
+            qubits, batch_size, n_moments=5, include_channels=include_channels)
+
+        self.assertLen(circuits, batch_size)
+        self.assertLen(resolvers, batch_size)
+        for circuit in circuits:
+            self.assertIsInstance(circuit, cirq.Circuit)
+            self.assertFalse(cirq.is_parameterized(circuit))
+        for resolver in resolvers:
+            self.assertIsInstance(resolver, cirq.ParamResolver)
+            self.assertEmpty(resolver.param_dict)
+
+    @parameterized.named_parameters(
+        ('without_channels', False),
+        ('with_channels', True),
+    )
+    def test_random_symbol_circuit_resolver_batch_shapes_and_types(
+            self, include_channels):
+        """Confirm random_symbol_circuit_resolver_batch returns
+        the expected types."""
+        qubits = cirq.GridQubit.rect(1, 3)
+        symbols = ['alpha', 'beta', 'gamma']
+        batch_size = 4
+
+        circuits, resolvers = util.random_symbol_circuit_resolver_batch(
+            qubits,
+            symbols,
+            batch_size,
+            n_moments=5,
+            include_channels=include_channels)
+
+        self.assertLen(circuits, batch_size)
+        self.assertLen(resolvers, batch_size)
+        for circuit in circuits:
+            self.assertIsInstance(circuit, cirq.Circuit)
+            self.assertSetEqual(set(util.get_circuit_symbols(circuit)),
+                                set(symbols))
+        for resolver in resolvers:
+            self.assertIsInstance(resolver, cirq.ParamResolver)
+            self.assertEqual(set(resolver.param_dict.keys()), set(symbols))
+            self.assertTrue(
+                all(
+                    isinstance(value, float)
+                    for value in resolver.param_dict.values()))
+
     @parameterized.parameters(_items_to_tensorize())
     def test_convert_to_tensor(self, item):
         """Test that the convert_to_tensor function works correctly by manually