diff --git a/algorithmic_efficiency/random_utils.py b/algorithmic_efficiency/random_utils.py
index db97735cb..b4a26b5b0 100644
--- a/algorithmic_efficiency/random_utils.py
+++ b/algorithmic_efficiency/random_utils.py
@@ -36,14 +36,14 @@ def _signed_to_unsigned(seed: SeedType) -> SeedType:
 def _fold_in(seed: SeedType, data: int) -> SeedType:
   rng_1 = np.random.RandomState(seed=_signed_to_unsigned(seed))
   new_seed_1 = rng_1.randint(MIN_INT32, MAX_INT32, dtype=np.int32)
-  rng_2 = np.random.RandomState(seed=_signed_to_unsigned(data))
+  rng_2 = np.random.RandomState(seed=(_signed_to_unsigned(data) & 0xffffffff))
   new_seed_2 = rng_2.randint(MIN_INT32, MAX_INT32, dtype=np.int32)
   return new_seed_1 + new_seed_2
 
 
 def _split(seed: SeedType, num: int = 2) -> SeedType:
   rng = np.random.RandomState(seed=_signed_to_unsigned(seed))
-  return rng.randint(MIN_INT32, MAX_INT32, dtype=np.int32, size=[num, 2])
+  return rng.randint(MIN_INT32, MAX_INT32, dtype=np.int32, size=[num])
 
 
 def _PRNGKey(seed: SeedType) -> SeedType:  # pylint: disable=invalid-name
@@ -60,6 +60,11 @@ def _check_jax_install() -> None:
         '--framework=pytorch to use the Numpy version instead.')
 
 
+def _randint(seed: SeedType) -> int:
+  rng = np.random.RandomState(_signed_to_unsigned(seed))
+  return rng.randint(MAX_INT32)
+
+
 def fold_in(seed: SeedType, data: int) -> SeedType:
   if FLAGS.framework == 'jax':
     _check_jax_install()
@@ -79,3 +84,10 @@ def PRNGKey(seed: SeedType) -> SeedType:  # pylint: disable=invalid-name
     _check_jax_install()
     return jax_rng.PRNGKey(seed)
   return _PRNGKey(seed)
+
+
+def randint(seed:SeedType) -> int:
+  if FLAGS.framework == 'jax':
+    _check_jax_install()
+    return jax_rng.randint(seed, )
+  return _randint(seed)
\ No newline at end of file
diff --git a/scoring/run_workloads.py b/scoring/run_workloads.py
index 077ce8d4f..a464da341 100644
--- a/scoring/run_workloads.py
+++ b/scoring/run_workloads.py
@@ -148,7 +148,7 @@ def main(_):
     # For each runnable workload check if there are any containers running and if not launch next container command
     for workload in workloads:
       run_key = prng.fold_in(rng_subkey, hash(workload))
-      run_seed = run_key[0]  # arbitrary
+      run_seed = prng.randint(run_key)  # arbitrary
       base_workload_name = get_base_workload_name(workload)
       wait_until_container_not_running()
       os.system(