# Member of Technical Staff (Robotics) at Artificial Analysis

Artificial Analysis is hiring a Member of Technical Staff (Robotics) in San Francisco, United States. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/f28d9775-a8a3-4cac-8d71-73aabc6f9627?utm_medium=ai-agent).

AI Level 3, AI centrality 69 out of 100. San Francisco (On-site).

## Details

- Company: [Artificial Analysis](https://jobsbylevel.com/companies/artificial-analysis)
- AI level: AI Level 3 (score 69 out of 100)
- Location: San Francisco (On-site)
- Posted: June 16, 2026
- Apply: https://jobsbylevel.com/go/f28d9775-a8a3-4cac-8d71-73aabc6f9627?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/member-of-technical-staff-robotics-at-artificial-analysis-10978b

## Description

Job Description: Member of Technical Staff (Robotics) Location: San Francisco, CA (on-site, 5 days a week, in our San Francisco office) 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 40+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai , Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. The Opportunity Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. Robotics is a new vertical for Artificial Analysis: we're initiating coverage of AI-driven robotics and hiring a Member of Technical Staff to lead it. We are very excited about the coming wave of fast progress as AI gets smart enough to drive robots. Vision-language-action models are now generalizing across embodiments, tasks, and environments, world models are becoming the substrate for training and evaluating robot policies at scale, and scaling laws are showing up in robotics the way they did in language and vision - the bottleneck is data, not ideas. The field has no shortage of impressive demos, but results are mostly self-reported and there is almost no rigorous, independent measurement - exactly the gap Artificial Analysis exists to fill. You'll define how Artificial Analysis evaluates robotics: developing our benchmarking methodologies from the ground up, producing the leaderboards and analysis the industry will use to understand what robots can actually do, and building relationships with some of the most important robotics labs and AI companies in the world. The bar for success is becoming a world expert in physical AI. This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. As the lead of a new vertical, you'll have an unusual amount of both, with the scope to shape what our robotics coverage becomes. You'll work directly with our founders and across the full team. AI scaling is going to change the physical world in ways we don't yet understand - and we're offering a front row seat. What You’ll Do Lead Our Initiation of Coverage: Take our robotics coverage from zero to launched, defining the methodologies, benchmarks, and leaderboards that will anchor the new vertical, and own the roadmap from there Robotics Benchmarking Product Development: Structure, design and execute projects to evaluate VLAs, world models, and full robotic systems, including developing new evaluation methodologies and datasets that establish our robotics benchmarking capabilities Strategic Analysis of Robotics: Drive developing reports and data visualizations to communicate complex robotics concepts to enterprises looking to shape their AI and robotics strategy Partner with Leading Robotics Companies: Collaborate with the labs building robot foundation models and the companies building robots to support them in benchmarking their technologies. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen Become AI-Native: Embrace an AI-native workflow, using cutting-edge

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