Robotics Engineering Intern

Shape the Future of AI

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.

About Labelbox

We're the only company offering three integrated solutions for frontier AI development:

1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
2. Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models
3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

• High-Impact Environment: 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.
• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
• Clear Ownership: 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.

Role Overview

We're looking for a curious and driven Robotics Engineering Intern to join our team and help design, build, and test intelligent robotic systems. You'll gain hands-on experience working alongside experienced engineers on projects that push the boundaries of autonomy, perception, and human-robot interaction.

This is an ideal opportunity for someone passionate about robotics who’s eager to apply their academic knowledge to real-world challenges and accelerate their learning in a fast-paced, startup environment.

Your Impact

• Contribute to the design, simulation, and prototyping of robotic systems
• Implement and test algorithms for motion planning, control, or sensor fusion
• Assist with hardware integration, calibration, and system debugging
• Analyze system performance and propose optimizations
• Document findings, share learnings, and collaborate cross-functionally

What You Bring

• Currently pursuing a degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field
• Solid foundation in robotics principles such as kinematics, dynamics, control, and/or computer vision
• Familiarity with ROS (Robot Operating System), C++ and/or Python
• Comfortable working with hardware (sensors, actuators, embedded systems)
• Strong problem-solving skills, initiative, and a willingness to learn
• Exposure to machine learning for robotics applications
• Past personal or academic projects in autonomous navigation, robotic arms, or mobile robots

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

LBx SF

The LBx SF team is the backbone of the Labelbox platform, focused on building core infrastructure and tools that power scalable, production-grade AI data pipelines. This team owns the user experience and foundational systems that enable teams to label, manage, and optimize data at scale. With a focus on reliability, performance, and extensibility, LBx SF engineers operate at the intersection of backend systems, data o