Droyd

Droyd

Robot Operator

San Francisco, CA

Sponsorship not specified$20k-$25kDetected 161 days ago
Machine LearningRobotics

About the role

  • As a Robotics Operator at Droyd, you will work hands-on with our robotic systems to generate the high-quality training data that powers our models.
  • Every movement and completion contributes directly to model performance.
  • This is a metrics-driven, shift-based role where precision and consistency matter.

Responsibilities

  • Droyd builds autonomous robotic systems that operate in real production environments.
  • We design the hardware, develop the control stack, and generate the data that enables generalist robotics.
  • Join us and help build the systems that make it real.
  • This is a metrics-driven, shift-based role where precision and consistency matter. You will execute repeatable workflows, maintain strict quality standards, and contribute directly to improving system reliability.
  • Maintain strict quality standards across all demonstrations
  • We design and manufacture our hardware in-house, which means iteration, fabrication, and execution all happen under one roof.
  • You will execute repeatable workflows, maintain strict quality standards, and contribute directly to improving system reliability.
  • Support basic mechanical adjustments and troubleshooting
  • Maintain organized, safe work areas
  • Can perform repetitive tasks without losing precision

Nice to have

  • Experience with robotics systems or human-in-the-loop interfaces
  • Background in manufacturing, assembly, or lab work
  • Experience using controllers, simulation tools, or similar interfaces
  • If we do this right, robots stop being demos and start being infrastructure.
  • Minimum 4 days per week, 5 preferred

Compensation

  • Compensation: $20-25/hour

Company info

  • Droyd builds autonomous robotic systems that automate repetitive manual work in real environments.
  • Our robotics team develops low-cost robotic arms used to train and deploy generalist AI models.
  • Just as language models learn from structured data, our systems improve through large volumes of high-quality, real-world demonstrations.
  • Hardware, software, and data are tightly integrated, and this role sits directly inside that loop.

This listing is sourced directly from Droyd's careers page and normalized into a canonical job model.