Location: San Francisco, California — on-site
About Artificial Analysis
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.
The Opportunity
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 Technician, you’ll work closely with our robotics researchers and engineers to keep our robots built, calibrated, tested, and running. You’ll build and maintain robot hardware, run our task suite, and help stand up new simulation environments as we add them.
This role suits an experienced technician or lab manager who takes pride in running a lab efficiently, getting the details right, and spending much of the day setting up, resetting, and monitoring experiments.
What You’ll Do
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.
What We’re Looking For
2+ years of hands-on experience with robots, lab equipment, or electromechanical systems, including experience as a technician, lab manager, or in a similar practical role.
Practical hardware troubleshooting: you can investigate a fault, test likely causes with the right tools, and explain how you reached a diagnosis.
Careful execution of multi-step procedures, with strong attention to detail.
The ability to run a full day of trials independently once familiar with our equipment and procedures, resolve routine problems, and recognize when to escalate.
Clear communication and teamwork with researchers and engineers.
Confidence picking up unfamiliar tools and software workflows.
3D printing experience.
Nice to Have
ROS 2, Isaac Sim, MuJoCo, or another simulator you’ve debugged rather than just launched.
Experience running benchmark or test campaigns where the count and ordering of trials matter.
Growing With Us
We are a small, growing team working on one of the most interesting problems in AI. You do not need to tick every box. If you are curious and keen to learn, we will support you to develop your skills and take on more responsibility.
Why Artificial Analysis?
Shape how AI gets built. Leading AI labs track our benchmarks and use them to guide their development priorities. Your work will help the industry understand how AI performs in the physical world.
Build expertise in frontier AI and robotics. Work closely with researchers and engineers evaluating AI models on physical robots and in simulation.
Join at a defining moment. We’re 50+ people, on track to double by year end, backed by some of the most connected investors in AI. The people who join now will shape the product, team, and strategy as we scale.
Competitive compensation.