Startups · AI

Robotics Research Assistant

Artificial Analysis · San Francisco (On-site) · On-site

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About Artificial Analysis

Comparison and analysis of AI models and API hosting providers. Independent benchmarks across key performance metrics including quality, price, output speed & latency. Backed by AI Grant.

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role

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 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...

Read the full posting on Artificial Analysis's site ↗

Technical Staff (incl. Product)

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