Genesis AI
Senior Annotation and Data Pipeline Manager
Bay Area · On-site · Manager · Full-time · Posted Jun 18, 2026
- Experience
- Four or more years in data or ML pipelines, including time leading the work; experience taking raw robot or embodied data to training-ready data at volume at a frontier AI lab or top data operation is sought.
About the job
Own and scale the annotation and data pipeline that converts raw robot demonstrations into validated, training-ready datasets and improves the model through targeted data collection.
What you'll do
- Manage the pipeline from raw trajectories and video through validation and training-ready datasets; own datasets and annotation ontology.
- Automate trajectory annotation, language grounding, and data synthesis with vision-language models; run internal and vendor labeling operations.
- Use robot evaluation failures to guide data collection, measure annotation quality and throughput, and verify that new data improves the model.
What they ask for
- Four or more years in data or ML pipelines, including time leading the work.
- Strong Python (Pandas, NumPy, PyTorch) and SQL.
- ML literacy covering training versus test, precision and recall, and overfitting.
- Hands-on technical leadership of a labeling operation.
Tools
Python, Pandas, NumPy, PyTorch, SQL
AI focus
Use vision-language models for trajectory annotation, language grounding, and data synthesis; build datasets and feedback loops that improve the robot model.
Model-written summary · the original posting is authoritative