Research Evaluation Lead Rhoda AI Mountain View, CA Job Details Full-time 1 day ago Qualifications Monitoring machines Laboratory experiment design Data quality checks Evaluation research Machine setup Equipment setup (production tasks) Management Computer Science Robotic systems Testing and evaluation Mid-level Improving operational efficiency Research project design Quality performance measurement Research project technical leadership Machine learning Continuous improvement Data quality monitoring Performance monitoring in laboratory operations Experimental design Production monitoring Implementing research protocols Project execution Test Execution (Quality assurance practices) Data collection Metadata Training Model evaluation Failure analysis Robot simulation Full Job Description 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 $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. Mission Own end-to-end robot model evaluation for Research. Turn research questions into consistent, high-quality, repeatable evals that enable fast iteration and trusted results. Responsibilities Translate research intent into clear eval protocols, trial plans, and success criteria.

Own execution end-to-end:

model handoff station readiness pilot execution QA results. Train and manage eval pilots; ensure consistency across people, shifts, and stations. Distinguish model failures from hardware, setup, operator, or data-quality issues. Maintain eval setups, resets, randomization, metadata, and experiment traceability. Track quality, throughput, and bottlenecks; continuously improve the eval process. Partner closely with Research, Robot Data, and Eval Platform teams. What we're looking for Some understanding of robotics / ML experimentation. Computer science background or hands-on experience with coding Rigorous, detail-oriented, and able to understand the intent behind an experiment, not just execute instructions. Strong hands-on execution and ownership. Experience in robotics testing, data collection, lab operations, or QA preferred. Success looks like A researcher can hand off a model and research question and receive a trusted, standardized eval result with sufficient trials and QA.