Staff Software Engineer, AI Data Platform

<div class="content-intro"><h2><strong>Shape the Future of AI</strong></h2> <p>At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p> <h2><strong>About Labelbox</strong></h2> <p>We're the only company offering three integrated solutions for frontier AI development:</p> <ol> <li><strong>Enterprise Platform &amp; Tools</strong>: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</li> <li><strong>Frontier Data Labeling Service</strong>: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</li> <li><strong>Expert Marketplace</strong>: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</li> </ol> <h2><strong>Why Join Us</strong></h2> <ul> <li><strong>High-Impact Environment</strong>: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</li> <li><strong>Technical Excellence</strong>: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</li> <li><strong>Innovation at Speed</strong>: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</li> <li><strong>Continuous Growth</strong>: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.</li> <li><strong>Clear Ownership</strong>: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</li> </ul></div><h2>Role Overview</h2> <p>Labelbox is the RL data factory for advancing frontier agent capabilities. We build the data, evaluations, and infrastructure that frontier labs use to train and judge their agents.&nbsp;We're looking for talented, experienced engineers to join us. The bar is high: engineers who have strong judgment and set technical direction, quickly build prototypes that scale into the reliable systems, and are at the frontier of agent-first engineering practices and innovating to accelerate the speed of the business.</p> <h2>What you may work on</h2> <ul> <li>Eval systems that run millions of agent trajectories to measure model and product quality.</li> <li>Fine-tuning pipelines that turn evaluation signals into measurable agent improvements.</li> <li>Agent-first product surfaces: UX and infrastructure for workflows where the user is a model or an agent operator.</li> <li>The systems behind hundreds of thousands of AI interviews used to source and match freelance workers to projects.</li> <li>Infrastructure that scales to the throughput frontier labs actually need.</li> <li>Integration of the latest models and capabilities into production within days of release.</li> </ul> <h2>What we're looking for</h2> <ul> <li>4+ year track record of shipping systems customers and other engineers rely on</li> <li>You build full stack prototypes fast and they hold up. The v1 you ship becomes the foundation the rest of the team builds on.</li> <li>Strong system and API design judgement</li> <li>Hard architecture and product calls land with you. You make them, defend them under pressure, and update fast when someone else is right.</li> <li>You ship production code with coding agents daily. You know where they break and what it takes to make them reliable to further accelerate the team's velocity.</li> <li>You set direction by being the example. Other engineers reach for your designs and your code as the reference.</li> <li>You move fast in ambiguous, startup-pace environments with influence over authority.</li> <li>You have worked in all parts of the stack</li> <li>Deep proficiency in TypeScript and/or Python.</li> </ul> <h2>Nice to have</h2> <ul> <li>Production experience building LLM- or agent-driven products.</li> <li>Designing evaluations for LLMs and agents, or producing high-quality data for ML systems.</li> <li>Background in production distributed systems, ML infrastructure, or data systems at scale.</li> </ul> <h2><strong>Our Technology Stack</strong></h2> <p>Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:</p> <ul> <li><strong>Frontend:</strong> React.js with Redux, TypeScript</li> <li><strong>Backend:</strong> Node.js, TypeScript, Python, some Java &amp; Kotlin</li> <li><strong>APIs:</strong> GraphQL</li> <li><strong>Cloud &amp; Infrastructure:</strong> Google Cloud Platform (GCP), Kubernetes</li> <li><strong>Databases:</strong> MySQL, Spanner, PostgreSQL</li> <li><strong>Queueing / Streaming:</strong> Kafka, PubSub</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.&nbsp; The expected annual base salary range for United States-based candidates</em><em>&nbsp;</em><em>is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.</em></p></div><div class="title">Annual base salary range</div><div class="pay-range"><span>$250,000</span><span class="divider">&mdash;</span><span>$280,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Life at Labelbox</strong></h2> <ul> <li><strong>Location</strong>: Join our dedicated tech hub in San Francisco</li> <li><strong>Work Style</strong>: Hybrid model with 3 days per week in office, combining collaboration and flexibility</li> <li><strong>Environment</strong>: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</li> <li><strong>Growth</strong>: Career advancement opportunities directly tied to your impact</li> <li><strong>Vision</strong>: Be part of building the foundation for humanity's most transformative technology</li> </ul> <h2><strong>Our Vision</strong></h2> <p>We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.</p> <p>Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.</p> <p><strong>Your Personal Data Privacy</strong>: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s <a href="https://docs.labelbox.com/page/job-applicant-privacy-notice">Job Applicant Privacy notice</a>.</p> <p>Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.</p></div>