Research Scientist / Engineer - Robot Learning Data

Benefits

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

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About this role

Research Scientist / Engineer - Robot Learning Data Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Research Scientist or Research Engineer to own the strategy and systems for collecting, curating, and scaling high-quality robot learning data. This role sits at the intersection of robotics, data collection, and research - your work directly determines the diversity and quality of the demonstrations our models train on. What You'll Do - 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

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