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.
We're the only company offering three integrated solutions for frontier AI development:
Get an inside look and hear directly from our current Forward Deployed Engineers here!
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.
Your work ensures robotics teams can collect, label, and validate thousands of hours of data per week with confidence and cost-efficiency.
Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
Proficiency in Python and data analysis.
Exceptional communication skills: ability to convey complex technical concepts clearly.
Strong project management and organizational skills.
Passion for AI and the intersection of technology, product, and customer needs.
This role has direct financial and model-quality impact. Scaling robotics programs without structured workflows results in exponentially increasing QA spend, storage cost, and rework cycles. Your systems allow robotics customers to confidently scale data throughput from tens → thousands → tens of thousands of labeled sequences without compromising reliability.
You are the backbone of robotics execution at Labelbox.
As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers, which include the majority of leading AI labs and AI disruptors, achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates 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.
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.
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.
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