Research Evaluation Analyst

Rhoda AI

Mountain View (CA)

On-site

USD 120,000 - 160,000

Full time

5 days ago
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Job summary

We’re seeking a detail-oriented Research Operations Associate to turn research needs into well-executed experiments, manage data collection, ensure QA, and maintain experiment traceability across multiple stations and shifts.

Qualifications

  • Robotics, ML, or experimental workflows understanding.
  • Computer science, engineering, or technical background; hands-on coding experience preferred.
  • Rigorous and detail-oriented, with ability to understand experiment intent beyond instructions.
  • Strong hands-on execution, problem-solving and ownership.
  • Experience in robotics, data collection, lab operations, testing, or QA preferred.

Responsibilities

  • Translate research needs into clear experiment plans, procedures, and data collection protocols.
  • Assist researchers with robot data collection, including task setup, scene/object preparation, pilot execution, and data QA.
  • Own end-to-end experiment execution: handoff → station readiness → execution → QA → data delivery.
  • Train and coordinate research operations pilots; ensure consistency across people, shifts, and stations.
  • Identify and troubleshoot issues related to hardware, setup, operators, data quality, and experiment execution.
  • Maintain robot stations, resets, randomization, metadata, and experiment traceability.
  • Track data quality, throughput, and operational bottlenecks; improve workflows.
  • Partner closely with Research, Robot Data, and platform/infrastructure teams.

Skills

Robotics understanding
Coding experience
Detail-oriented
Problem solving
Hands-on execution

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

Support Research with high-quality, reliable robot experiments and data collection. Turn research needs into well-executed experiments, consistent operations, and trusted data that enable fast iteration.

Responsibilities
  • Translate research needs into clear experiment plans, operating procedures, and data collection protocols.

  • Support researchers with robot data collection, including task setup, scene/object preparation, pilot execution, and data QA.

  • Own experiment execution end-to-end: model or task handoff → station readiness → execution → QA → results/data delivery.

  • Train and coordinate research operations pilots; ensure consistency across people, shifts, and stations.

  • Identify and troubleshoot issues related to hardware, setup, operators, data quality, and experiment execution.

  • Maintain robot stations, resets, randomization, metadata, and experiment traceability.

  • Track data quality, throughput, and operational bottlenecks; continuously improve research workflows.

  • Partner closely with Research, Robot Data, and platform/infrastructure teams.

What We’re Looking For
  • Some understanding of robotics, ML, or experimental workflows.

  • Computer science, engineering, or other technical background; hands-on coding experience preferred.

  • Rigorous and detail-oriented, with the ability to understand the intent behind an experiment rather than simply follow instructions.

  • Strong hands-on execution, problem-solving, and ownership.

  • Experience in robotics, data collection, lab operations, testing, or QA preferred.

Success Looks Like

Researchers can quickly hand off an experiment or data collection request and receive reliable execution, high-quality data, and well-documented results with minimal operational overhead.

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