Robotics Research Evaluation Lead

Rhoda; Mountain View (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Rhoda AI is building the next generation of generalist robotic systems and evaluating models through rigorous, repeatable eval protocols. You will own end-to-end eval execution, from model handoff to QA and results, and train eval pilots to ensure consistency across shifts and stations.

We value hands-on coding, a solid CS background, and the ability to infer experiment intent. Collaboration with Research, Robot Data, and Eval Platform teams is central to success.

Qualifications

• Understanding of robotics or ML experimentation.
• Computer science background or hands-on coding experience.
• Rigorous, detail-oriented, and able to understand the intent behind an experiment.
• Strong hands-on execution and ownership.
• Experience in robotics testing, data collection, lab operations, or QA preferred.

Responsibilities

• Translate research intent into 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

Coding experience

Ownership & execution

Attention to detail

Lab operations/QA experience

Education

Computer science background

Job description

Rhoda AI is building the next generation of generalist robotic systems and evaluating models through rigorous, repeatable eval protocols. You will own end-to-end eval execution, from model handoff to QA and results, and train eval pilots to ensure consistency across shifts and stations.

We value hands-on coding, a solid CS background, and the ability to infer experiment intent. Collaboration with Research, Robot Data, and Eval Platform teams is central to success.