Forward Deployed Engineer

Labelbox
San Francisco Bay AreaPosted 3 March 2026

Job Description

<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><strong>Get an inside look and hear directly from our current Forward Deployed Engineers </strong><a href="https://labelbox.super.site/"><span class="s1"><strong>here</strong></span></a><strong>!</strong></p> <p>This role requires an entrepreneurial mindset. You will operate like a technical cofounder: with high agency, deep technical engagement, and a bias for action.</p> <p>You will use a unique mix of engineering, product, and sales to deliver data on high stakes projects for leading frontier AI labs. You will work with human data teams or AI researchers in customer organizations to produce the best datasets for model evals, supervised finetuning, or ground truth data for advanced and emerging reinforcement learning techniques.</p> <h2><strong>Your Impact</strong></h2> <ul> <li> <p><strong>Understand the Data Needs of AI Leaders</strong>: Work directly with the most advanced AI labs to define and refine data strategies.</p> </li> <li> <p><strong>Design and Operate Human Data Pipelines</strong>: Build scalable, high-quality data pipelines to power next-gen AI.</p> </li> <li> <p><strong>Develop and Optimize Code</strong>: Write Python scripts for data processing and quality analysis.</p> </li> <li> <p><strong>Shape the Future of AI Infrastructure</strong>: Define engineering requirements to improve human data tools and workflows.</p> </li> </ul> <h2><strong>What You Bring</strong></h2> <ul> <li> <p>Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.</p> </li> <li> <p>Proficiency in Python and data analysis.</p> </li> <li>Prior experience leading LLM projects.</li> <li> <p>Exceptional communication skills: ability to convey complex technical concepts clearly.</p> </li> <li> <p>Strong project management and organizational skills.</p> </li> <li> <p>Passion for AI and the intersection of technology, product, and customer need ... (truncated, view full listing at source)