Full-Stack 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 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><strong>Role Overview</strong></h2> <p>We’re looking for a <strong>Full-Stack</strong> <strong>AI Engineer</strong> to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features <strong>end to end</strong>—from user-facing experiences and APIs to backend services, data models, and infrastructure. </p> <p>You’ll be at the heart of our applied AI efforts, with a particular focus on <strong>human-in-the-loop systems</strong> used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.</p> <h2><strong>Your Impact</strong></h2> <ul> <li><strong>Own End-to-End Product Features</strong><strong><br></strong>Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.</li> <li><strong>Enable Human-in-the-Loop AI Training</strong><strong><br></strong>Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.</li> <li><strong>Support RLHF and Preference Data Workflows</strong><strong><br></strong>Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.</li> <li><strong>Leverage LLMs in the Review Loop</strong><strong><br></strong>Build systems that use LLMs to assist human reviewers—such as automated checks, critiques, ranking suggestions, or quality signals—while maintaining human oversight.</li> <li><strong>Advance AI Evaluation</strong><strong><br></strong>Design and implement evaluation frameworks and interactive tools for LLMs and AI agen ... (truncated, view full listing at source)