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About the Role

The physical world is where the next generation of AI models will compete. We’re developing our robotics benchmarks to set the industry’s reference point: testing how AI models perform on physical robots and in simulation, and building the analysis that helps the industry understand them. As a Robotics Research Assistant, you’ll work closely with our robotics researchers and engineers to run benchmarks and keep our robots built, calibrated, tested, and running. You’ll help build and maintain hardware, run our task suite, and set up new simulation environments as we add them. This is a hands-on lab and benchmark-operations role. It suits a recent graduate or early-career candidate with substantial practical hardware experience who enjoys building, troubleshooting, and carefully running experiments. Expect to spend much of the day setting up, resetting, and monitoring trials.

Responsibilities

Build and maintain an evolving suite of hardware.
Power, wire, and health-check hardware so each station is ready to run.
Work efficiently to understand unfamiliar hardware and incorporate it into our fleet.
Run the task suite and read the results.
Set up task scenes, run startup and shutdown checks, and monitor trials on physical robots and in simulation.
Protect result quality.
Check that recordings and logs are complete and linked to the right task, model, and configuration.
Record interventions and distinguish model failures from equipment, setup, or simulation faults.
Maintain the hardware.
Assemble hardware, route cables, mount fixtures and cameras, calibrate equipment, manage spare parts, and make the small mechanical fixes that keep a fleet running.
Keep the lab ready.
Carry out routine checks and maintenance, organize tools and spares, and follow lab safety procedures.
Improve how the lab runs.
Keep operating instructions current, flag recurring problems, and, where your skills allow, contribute fixtures, 3D-printed parts, or scripts.

Requirements

A recent graduate or early-career background in robotics, mechatronics, mechanical engineering, electrical engineering, or a related field, with substantial hands-on hardware experience from labs, projects, internships, or similar practical work.
Evidence that you have built, operated, maintained, or troubleshot robots, lab equipment, or electromechanical systems yourself.
Practical troubleshooting: you can investigate a fault, test likely causes with appropriate tools, and explain what you learned.
Careful execution of multi-step procedures, with strong attention to detail and reliable records.
The ability to develop toward independently running a full day of trials after training, resolving routine problems, and recognizing when to ask for help.
Clear communication and teamwork with researchers and engineers.
Confidence picking up unfamiliar tools and software workflows.
3D printing experience, including through university or personal projects.

Skills

Robotics
Mechatronics
Mechanical engineering
Electrical engineering
Hardware experience
Troubleshooting
Attention to detail
Communication
Teamwork
3D printing
ROS 2
Isaac Sim
MuJoCo

Location

San Francisco, California

Work Type

On-site

Experience Level

Recent graduate
Early-career

Education Level

Robotics
Mechatronics
Mechanical engineering
Electrical engineering
Related field

Benefits

Competitive compensation

About the Company

Artificial Analysis is the leading independent AI benchmarking company.
We support labs, engineers, and enterprises to understand AI capabilities and make critical decisions about their AI strategies.
We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers.
Our benchmarks don’t just measure the cutting edge of AI; they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA, and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times, and The Economist.
We are a team of 50+, on track to double by year end, backed by Nat Friedman, Daniel Gross, Andrew Ng, Adam D’Angelo, Clem Delangue, and other industry leaders.