Forward Deployed Engineer, Robotics

<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>We are hiring a Robotics Data Pipeline QA Engineer to build end-to-end infrastructures that move robotics video, sensor data, annotation output, and review results reliably through labeling workflows. You will combine software engineering, data pipeline design, robotics context, and automation-driven QA systems to ensure the highest-quality data is produced at scale.</p> <p>Your work ensures robotics teams can collect, label, and validate thousands of hours of data per week with confidence and cost-efficiency.</p> <h2><strong>Your Impact</strong></h2> <ul> <li style="line-height: 2;">Build and optimize ingestion pipelines for robotics video, synchronized metadata, sensor logs, and derived annotations.</li> <li style="line-height: 2;">Architect scalable labeling workflows that maintain ID integrity, time alignment, and version control across large datasets.</li> <li style="line-height: 2;">Implement automated QA flows using heuristics, statistics, and LLM-based validation to reduce manual QA burden.</li> <li style="line-height: 2;">Create dynamic trust scoring systems that ramp-down review percentage as contributors prove consistent quality.</li> <li style="line-height: 2;">Track data progression across ingestion → labeling → review → acceptance → downstream consumption.</li> <li style="line-height: 2;">Build monitoring systems for throughput, failure rates, accuracy, contributor performance, and cost impact.</li> <li style="line-height: 2;">Identify robotic-specific annotation edge cases and translate them into codified criteria and QA logic.</li> <li style="line-height: 2;">Collaborate with internal Platform, Infra, and ML teams to integrate tooling end-to ... (truncated, view full listing at source)