Data collection is the fuel that drives our mission. Every robot movement, every successful task completion, every demonstration you provide teaches our AI systems how to interact with the physical world. As a Robot Operator, you're not just controlling robots-you're literally training the AI that will power the next generation of intelligent machines.
You'll be at the forefront of robotics AI, working hands-on with cutting-edge robotic systems to generate the high-quality training data our models need. Your precise demonstrations teach our AI everything from delicate manipulation tasks to complex multi-step processes. This is your chance to directly contribute to technology that will transform how robots help humans in homes, workplaces, and beyond.
Responsibilities
Primary Responsibilities
Teleoperate robotic arms through a variety of tasks using our intuitive control systems
Either lead robot movements with your arms (the robot mirrors your actions) or guide robots using specialized controllers
Complete diverse tasks ranging from household activities like folding laundry to complex assembly work
Maintain high standards for data quality and consistency across all demonstrations
Meet established metrics for data collection volume and quality during your shift
Example Tasks You'll Train Robots On
Picking up grocery items and placing them in shipping bags
Sorting cups, plates, and utensils into bins
Opening and closing jars of various sizes
Folding different types of clothing and fabrics
Installing light bulbs and other simple assembly tasks
Multi-step electronics assembly processes
Additional Duties
Review and annotate videos of robot task performances using computer interfaces
Provide detailed feedback on robot performance and data quality
Assist with equipment setup and basic office tasks as needed
Participate in process improvements to enhance data collection efficiency
Physical Requirements
Ability to stand at a workstation for 8-hour shifts
Full use of both arms and hands for robot control
Good hand-eye coordination and manual dexterity
Attention to detail for quality control
Work Environment & Schedule
Shift Options (8 hours with 30-minute lunch + two paid breaks):
Morning: 8:00 AM - 4:00 PM PT
Evening: 4:00 PM - 12:00 AM PT
Overnight: 12:00 AM -8:00 AM PT
Shift patterns: Mon-Fri, Wed-Sun, Sat-Wed
Commitment: Minimum 5 days per week
Compensation: $25/hour + benefits package
Requirements
Ideal Background
Experience with hands-on technical work, lab environments, or precision tasks
Interest in AI, robotics, and cutting-edge technology
Strong attention to detail and quality focus
Key Qualities
Meticulous attention to detail-data quality is crucial for AI training
Good manual dexterity and hand-eye coordination
Enjoys repetitive, precision-focused work
Thrives in fast-paced, metrics-driven environments
Excited about contributing to breakthrough AI research
Collaborative mindset and strong work ethic
Experience with robotics systems or automation
Background in manufacturing, assembly, or laboratory work
Familiarity with AI/ML concepts
Gaming or simulation experience with controllers
Why This Role Matters
Ready to help train the robots of tomorrow? We'd love to connect with you!
Pursuant to the San Francisco Fair Chance Ordinance, we will con
Benefits
Vision insurance
Additional Information
About Physical Intelligence
Physical Intelligence is building the future where AI-powered robots seamlessly integrate into our daily lives. Imagine a robot that can fold your laundry, prepare meals, and organize your space. Picture robots in warehouses that can handle any package, or manufacturing robots that can adapt to new products without reprogramming. We're making this vision reality by developing general-purpose AI that can control robots to perform any physical task.
Our team of engineers, scientists, and roboticists is creating foundation models-the same breakthrough technology behind ChatGPT-but for the physical world. Just as language models learned to understand and generate text from massive datasets, our robots learn to interact with the physical world through high-quality demonstration data.
Physicalintelligence · San Francisco