diff --git a/docs/source/annotation_pipeline.mdx b/docs/source/annotation_pipeline.mdx
index 98ef79fb9..a2d38e417 100644
--- a/docs/source/annotation_pipeline.mdx
+++ b/docs/source/annotation_pipeline.mdx
@@ -57,7 +57,7 @@ HF_TOKEN=hf_... uv run python examples/annotations/run_hf_job.py
 [`examples/annotations/run_hf_job.py`](https://github.com/huggingface/lerobot/blob/main/examples/annotations/run_hf_job.py)
 spawns a single-GPU `h200` job (scale up to `h200x4` for larger datasets) that:
 
-1. installs the branch under test plus the annotation extras,
+1. installs `lerobot` (from `main`) plus the annotation extras,
 2. boots one vLLM server per GPU (in the `vllm/vllm-openai` image) for the
    chosen model, which the pipeline drives over the OpenAI-compatible API,
 3. runs the `plan` / `interjections` / `vqa` modules across the dataset
diff --git a/examples/annotations/run_hf_job.py b/examples/annotations/run_hf_job.py
index c335379f4..61bcf8401 100644
--- a/examples/annotations/run_hf_job.py
+++ b/examples/annotations/run_hf_job.py
@@ -17,7 +17,7 @@
 
 Spawns one single-GPU ``h200`` job that:
 
-  1. installs ``lerobot`` plus the annotation extras,
+  1. installs ``lerobot`` from ``main`` plus the annotation extras,
   2. boots one vllm server with Qwen3.6-27B (dense VLM),
   3. runs the plan / interjections / vqa modules across the dataset
      in free-form mode (each episode generates its own subtasks +