diff --git a/docs/ConfiguringInfinigen.md b/docs/ConfiguringInfinigen.md
index 392a5abf..4636dffe 100644
--- a/docs/ConfiguringInfinigen.md
+++ b/docs/ConfiguringInfinigen.md
@@ -187,7 +187,7 @@ python -m infinigen.datagen.manage_jobs --output_folder outputs/stereo_data --nu
 #### Creating a few low-resolution images to your test changes
 
 ```bash
-screen python -m infinigen.datagen.manage_jobs --output_folder outputs/dev --num_scenes 50 \
+python -m infinigen.datagen.manage_jobs --output_folder outputs/dev --num_scenes 50 \
     --pipeline_config slurm monocular cuda_terrain \
     --cleanup big_files --warmup_sec 1200 --configs dev
 ```
diff --git a/docs/HelloRoom.md b/docs/HelloRoom.md
index ba12c4bc..6e017659 100644
--- a/docs/HelloRoom.md
+++ b/docs/HelloRoom.md
@@ -76,12 +76,12 @@ We also provide an OpenGL-based ground truth extractor which offers additional g
 
 To generate a single scene in one command, you can run the following:
 ```bash
-screen python -m infinigen.datagen.manage_jobs --output_folder outputs/my_dataset --num_scenes 1 --pipeline_configs local_256GB.gin monocular.gin blender_gt.gin indoor_background_configs.gin --configs singleroom.gin --pipeline_overrides get_cmd.driver_script='infinigen_examples.generate_indoors' manage_datagen_jobs.num_concurrent=16 --overrides compose_indoors.restrict_single_supported_roomtype=True 
+python -m infinigen.datagen.manage_jobs --output_folder outputs/my_dataset --num_scenes 1 --pipeline_configs local_256GB.gin monocular.gin blender_gt.gin indoor_background_configs.gin --configs singleroom.gin --pipeline_overrides get_cmd.driver_script='infinigen_examples.generate_indoors' manage_datagen_jobs.num_concurrent=16 --overrides compose_indoors.restrict_single_supported_roomtype=True 
 ```
 
 To create a large dataset of many random rooms, we recommend:
 ```bash
-screen python -m infinigen.datagen.manage_jobs --output_folder outputs/my_dataset --num_scenes 1000 --pipeline_configs local_256GB.gin monocular.gin blender_gt.gin indoor_background_configs.gin --configs singleroom.gin --pipeline_overrides get_cmd.driver_script='infinigen_examples.generate_indoors' manage_datagen_jobs.num_concurrent=16 --overrides compose_indoors.restrict_single_supported_roomtype=True 
+python -m infinigen.datagen.manage_jobs --output_folder outputs/my_dataset --num_scenes 1000 --pipeline_configs local_256GB.gin monocular.gin blender_gt.gin indoor_background_configs.gin --configs singleroom.gin --pipeline_overrides get_cmd.driver_script='infinigen_examples.generate_indoors' manage_datagen_jobs.num_concurrent=16 --overrides compose_indoors.restrict_single_supported_roomtype=True 
 ```
 
 You can inspect `outputs/my_dataset/SEED/` to see the running logs of the subprocesses and output results.
diff --git a/infinigen/__init__.py b/infinigen/__init__.py
index 607bf390..08131be6 100644
--- a/infinigen/__init__.py
+++ b/infinigen/__init__.py
@@ -6,7 +6,7 @@
 import logging
 from pathlib import Path
 
-__version__ = "1.8.2"
+__version__ = "1.8.3"
 
 
 def repo_root():
diff --git a/infinigen/core/init.py b/infinigen/core/init.py
index 2d4000f0..774d5958 100644
--- a/infinigen/core/init.py
+++ b/infinigen/core/init.py
@@ -243,7 +243,7 @@ def configure_render_cycles(
 @gin.configurable
 def configure_cycles_devices(use_gpu=True):
     if use_gpu is False:
-        logger.info(f"Render will use CPU-only due to {use_gpu=}")
+        logger.info(f"Job will use CPU-only due to {use_gpu=}")
         bpy.context.scene.cycles.device = "CPU"
         return
 
@@ -264,7 +264,7 @@ def configure_cycles_devices(use_gpu=True):
     use_device_type = types[0]
 
     if use_device_type == "CPU":
-        logger.warning(f"Render will use CPU-only, only found {types=}")
+        logger.warning(f"Job will use CPU-only, only found {types=}")
         bpy.context.scene.cycles.device = "CPU"
         return