diff --git a/scripts/run_subtask_annotate.sh b/scripts/run_subtask_annotate.sh
deleted file mode 100755
index f1063525d..000000000
--- a/scripts/run_subtask_annotate.sh
+++ /dev/null
@@ -1,83 +0,0 @@
-#!/bin/bash
-# Example script to run subtask annotation with Qwen VLM.
-# Generates skill/subtask segments for hierarchical policy training.
-#
-# Usage:
-#   ./scripts/run_subtask_annotate.sh
-# Or with env overrides:
-#   REPO_ID=user/other-dataset OUTPUT_DIR=/tmp/out ./scripts/run_subtask_annotate.sh
-
-set -e
-
-# --------------- Configuration ---------------
-REPO_ID="${REPO_ID:-lerobot-data-collection/round1_4}"
-# MODEL="${MODEL:-Qwen/Qwen3-VL-30B-A3B-Thinking}"
-MODEL="${MODEL:-Qwen/Qwen3.5-27B}"
-# Or: MODEL="Qwen/Qwen2-VL-7B-Instruct"
-
-OUTPUT_DIR="${OUTPUT_DIR:-/fsx/jade_choghari/outputs/collect-data-pgen_new}"
-BATCH_SIZE="${BATCH_SIZE:-4}"
-VIDEO_KEY="${VIDEO_KEY:-observation.images.base}"
-
-# Closed-vocabulary subtask labels (optional). Pass as space-separated list.
-# Leave empty for open-vocabulary segmentation.
-SUBTASK_LABELS=(
-  "do_first_horizontal_fold"
-  "do_second_horizontal_fold"
-  "do_third_fold_left_to_right"
-  "do_fourth_fold_right_to_left"
-  "rotate_t-shirt_90_degrees"
-  "slide_folded_shirt_to_right"
-)
-
-# --------------- Run subtask annotation ---------------
-# Uses the refactored CLI: lerobot-dataset-subtask-annotate (config-based, snake_case args).
-# If not installed, run from repo root: PYTHONPATH=src python -m lerobot.scripts.lerobot_subtask_annotate ...
-
-CMD=(
-  lerobot-dataset-subtask-annotate
-  --repo_id "$REPO_ID"
-  --video_key "$VIDEO_KEY"
-  --output_dir "$OUTPUT_DIR"
-  --push_to_hub True
-  --no_timer_overlay True
-  --model "$MODEL"
-  --batch_size "$BATCH_SIZE"
-)
-
-# Add closed-vocabulary labels if defined
-if [ ${#SUBTASK_LABELS[@]} -gt 0 ]; then
-  for label in "${SUBTASK_LABELS[@]}"; do
-    CMD+=(--subtask_labels "$label")
-  done
-fi
-
-echo "Running: ${CMD[*]}"
-"${CMD[@]}"
-
-# --------------- Optional: image-window annotator (if available) ---------------
-# Uncomment and adjust path if you use the image-window variant:
-# python /path/to/lerobot/data_processing/annotations/subtask_annotate_image.py \
-#   --repo-id "$REPO_ID" \
-#   --camera-key observation.images.wrist \
-#   --output-dir "$OUTPUT_DIR" \
-#   --output-repo-id "jadechoghari/piper-demo-annotated1-image" \
-#   --push-to-hub \
-#   --model "$MODEL" \
-#   --window-size 184 \
-#   --max-frames-per-window 16 \
-#   --subtask-labels "label1" "label2" \
-#   --batch-size 2
-
-# --------------- Optional: synthetic data generation (pgen) ---------------
-# BATCH_SIZE=2 TEMPERATURE=0.9 SAMPLE_INTERVAL=5.0
-# python examples/dataset/annotate_pgen.py \
-#   --repo-id "$REPO_ID" \
-#   --model "$MODEL" \
-#   --output-dir "$OUTPUT_DIR" \
-#   --temperature "$TEMPERATURE" \
-#   --batch-size "$BATCH_SIZE" \
-#   --sample-interval "$SAMPLE_INTERVAL" \
-#   --image-key observation.images.base \
-#   --num-image-views-per-sample 1
-# Add --push-to-hub to push after generation.