Robotics Research Evaluation Lead

Rhoda AI; Mountain View (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Rhoda AI is building the next generation of generalist intelligent robots. The team owns the full stack from hardware to world-model control, with a strong emphasis on end-to-end evaluation and reproducible results.

We are seeking a diligent researcher who can translate research questions into repeatable evals, own experiments end-to-end, and collaborate across Research, Robot Data, and Eval Platform teams to deliver trusted results.

Qualifications

• 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.

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.

Skills

Robotics/ML experimentation

CS background / coding

Rigorous attention to detail

Execution ownership

Robotics QA experience

Education

Computer science background

Job description

Rhoda AI is building the next generation of generalist intelligent robots. The team owns the full stack from hardware to world-model control, with a strong emphasis on end-to-end evaluation and reproducible results.

We are seeking a diligent researcher who can translate research questions into repeatable evals, own experiments end-to-end, and collaborate across Research, Robot Data, and Eval Platform teams to deliver trusted results.