Tasks:
- * Build and quality-control embodied AI datasets
- * Build preprocessing tools and annotation workflows
- * Deploy containerized data services
- * Develop data collection and preprocessing pipelines
- * Extract actions and optimize trajectories from demonstrations
- * Prepare and align training data
- * Process multimodal robot data
Perks/Benefits:
Skills/Tech stack required:
[Anomaly Detection] [Cartesian pose representation] [Data Augmentation] [Data loading] [Data Pipelines] [Data Processing] [Docker] [Embodied data processing] [Git] [Joint Space] [Joint-space representation] [Linux] [Multimodal Data] [Multimodal Data Processing] [NumPy] [OpenCV] [Pandas] [Pose Representation] [Python] [PyTorch data loading] [Quaternions] [Robot Manipulation] [Robot manipulation datasets] [Rot6D] [Shell Scripting] [Time Series] [Time Series Alignment] [Trajectory Interpolation] [VIBE programming]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Data Engineer] [Embodied Data Engineer] [Engineer]