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# Research Scientist / Engineer - Robot Learning Data

- **Company:** Rhoda ai
- **Location:** Palo Alto, CA, United States
- **Contract:** Permanent contract
- **Skills:** Motion Capture, Software Engineering, Model Validation, Data Generation
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=01ebceb218f61618

## About the Role

Do you have experience in System design?, * Hands-on experience with robotic data collection, teleoperation systems, or demonstration frameworks

 * Understanding of what makes robot learning data useful: diversity, coverage, temporal quality, and action fidelity
 * Strong software engineering skills for building reliable data collection and processing systems
 * Ability to reason across hardware, pipelines, and model performance
 * Experience working with real robotic hardware in a research or industrial setting

Nice to Have (But Not Required)

 * Experience with sim-to-real transfer and synthetic data generation for robotics
 * Familiarity with cross-embodiment datasets (e.g., Open X-Embodiment, DROID)
 * Experience with VR teleoperation, motion capture, or dexterous demonstration collection
 * Understanding of imitation learning and how data properties affect policy generalization
 * PhD or strong research background in robotics or ML

## Description

* Design and implement teleoperation and demonstration collection systems for high-quality robot learning data
 * Develop data quality metrics, curation pipelines, and filtering strategies specific to robotic interaction data
 * Research methods to augment real robot data with synthetic, simulated, or cross-embodiment sources
 * Identify and source external robotic datasets to expand training diversity across platforms and tasks
 * Build tooling for researchers to explore, annotate, and iterate on robotic datasets
 * Collaborate with pre-training and post-training teams to translate model data needs into concrete collection strategies
 * Measure the downstream impact of data collection decisions on model and policy performance, * The data you collect and curate is the direct upstream dependency for all model quality
 * Unique leverage: improvements to data quality compound across every training run
 * Work across hardware, systems, and research in a way few roles allow
 * Direct feedback loop with both robot operators and research scientists to continuously improve data quality


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