Research Engineer, Robotics Data
Core
Develop datasets and evaluation methods to make robotics data useful for training and evaluating embodied AI systems.
Role type
Research Engineer (Robotics Data)
Builds
Robotics datasets, evaluation protocols, and validation tools for embodied AI
Domain
Robotics, Embodied AI, Multimodal Data
Deliverable
production ML models
Required skills
Robotics/robot learning/embodied AI, Python, data processing/analysis/evaluation tools, dataset specification design, experiment design and analysis, data quality auditing, tool/pipeline development
Preferred skills
Robot trajectories/demonstrations/video/sensor data/simulation, imitation learning/reinforcement learning/vision-language-action models, unstructured problem ownership, early-stage startup experience
Technologies
Python
Responsibilities
Translate research needs into dataset and evaluation specifications; Define data schemas, annotations, ground truth, and quality standards; Design collection and review protocols for external providers; Build tools and workflows to audit datasets and identify quality issues; Run experiments to analyze how data quality and structure affect model performance; Collaborate with research, engineering, and data vendors to improve robotics data offerings
