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Robot Operator

Droyd
Posted 2 months ago, valid for 14 days
Location

San Francisco, CA 94102, US

Salary

$20 - $25 per hour

Contract type

Full Time

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Sonic Summary

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  • Droyd is seeking a Robotics Operator to work on-site in San Francisco, CA, focusing on generating high-quality training data for robotic systems.
  • The role involves operating robotic systems using guided control interfaces and executing structured task sequences with precision.
  • Candidates should have hands-on experience in labs, manufacturing, or robotics, with a preference for those familiar with AI or machine learning concepts.
  • The position offers compensation of $20-25 per hour, requiring a minimum of four shifts per week, preferably five.
  • Successful applicants will be detail-oriented, able to perform repetitive tasks, and thrive in a metrics-driven environment.

About the Team

Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. We design and manufacture our hardware in-house, which means iteration, fabrication, and execution all happen under one roof.

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.

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.

You will use guided control interfaces to lead robots through structured task workflows. Every movement and completion contributes directly to model performance.

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.

This role is based on-site in San Francisco, CA.

In This Role, You’ll

Robot Operation & Data Collection

  • Operate robotic systems using guided control interfaces

  • Execute structured task sequences designed for model training

  • Perform repetitive manipulation workflows with consistency and precision

  • Maintain strict quality standards across all demonstrations

  • Meet daily output and data quality benchmarks

System Monitoring & Quality Control

  • Monitor system behavior and flag inconsistencies

  • Review recorded sessions for quality assurance

  • Provide clear feedback to engineering and software teams

  • Help refine workflows to improve reliability and throughput

Equipment Setup & Support

  • Assist with workstation setup and calibration

  • Support basic mechanical adjustments and troubleshooting

  • Maintain organized, safe work areas

  • Ensure systems are prepared and functioning at the start of each shift

Work Environment & Schedule

  • On-site in San Francisco, CA

  • 8-hour shifts with scheduled breaks

  • Minimum 4 days per week, 5 preferred

  • Day, evening, and overnight coverage may be required

Compensation: $20-25/hour

This role requires standing for extended periods, full use of both arms and hands, strong hand-eye coordination, and close attention to detail.

We’re Looking For Candidates Who

  • Have hands-on experience in labs, manufacturing, robotics, or technical environments

  • Are comfortable working directly with physical systems

  • Can perform repetitive tasks without losing precision

  • Thrive in structured, output-driven environments

  • Take ownership of quality and consistency

  • Communicate clearly and escalate issues early

Nice to have:

  • Experience with robotics systems or human-in-the-loop interfaces

  • Background in manufacturing, assembly, or lab work

  • Familiarity with AI or machine learning concepts

  • Experience using controllers, simulation tools, or similar interfaces

About Droyd

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.

If we do this right, robots stop being demos and start being infrastructure.

Join us and help build the systems that make it real.




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