Research Engineer, Visual Knowledge Work

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2><strong>About the role</strong></h2> <p>We&39;re looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. On the Vision team, you&39;ll own the end-to-end process of creating training data and RL environments targeting visual knowledge work: identifying long-horizon and vision-heavy tasks, building evals, designing rewards, and scaling data. This is a unique role that combines applied research with hands-on data work. It&39;s also highly collaborative — you&39;ll partner with external vendors, pretraining, RL, and product teams to make sure the environments you build translate into real-world knowledge work capabilities.</p> <h2><strong>What you&39;ll do:</strong></h2> <ul> <li>Own the data strategy for vision capabilities end-to-end, from building evals and scaling RL environments</li> <li>Manage technical relationships with external data vendors, including writing task specifications, evaluating visual data and annotation quality, and iterating on reward design</li> <li>Develop and improve QA frameworks that catch reward hacking and ensure environment quality at scale</li> <li>Run generalization experiments to measure how data strategy changes improve multimodal capabilities on held-out evaluations</li> <li>Partner with pretraining, RL, and product teams, and do the science that shows we’re all rowing in the sa