Robot Mission Commander - Mineral, Virginia; Part-time

Field AI is transforming how robots interact with the real world. We are building risk‑aware, reliable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data‑driven approaches or pure transformer‑based architectures, and are charting a new course, with already‑globally‑deployed solutions delivering real‑world results and rapidly improving models through real‑field applications.

About Field AI

Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.

We’re proud to have a team of brilliant minds from organizations such as NASA, Google Deep Mind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, Space

X, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and more. Together, we are united by a shared passion for reshaping the future through robotics.

Learn more at

• Supervise and Monitor Autonomous Missions: Ensure robot deployments are running safely, efficiently, and in accordance with mission goals.
• Field‑Based Data Collection: Set up and oversee experiments or missions with autonomous systems; collect and log structured data for training, testing, or research purposes.
• Onsite Client
  
  Collaboration:
  
  Engage directly with clients to provide clear, timely updates on mission progress, system status, and outcomes; ensure transparency and build trust throughout the deployment lifecycle.
• Real‑Time Debugging Support: Perform basic hardware checks, sensor resets, and software reboots; identify and report system faults clearly to the engineering team.
• Mission Reporting & Documentation: Maintain detailed logs of field activity, mission performance, environment conditions, and system behavior; escalate critical findings.

• Bachelor’s degree in Robotics, Computer Science, Engineering, Mechatronics, or a closely related field
• Strong communication and interpersonal skills—especially when interfacing with clients and technical teams
• Demonstrated interest in robotics, autonomous systems, or field technologies
• Comfortable working in dynamic and sometimes unpredictable field environments

• Adaptability & Flexibility
  :
  Ability to work under varying environmental conditions and adapt to evolving client needs and technical challenges.
• Multitasking
  :
  Managing several ongoing tasks simultaneously while meeting deadlines and maintaining quality in all aspects of work.
• Time Management
  :
  Efficiently balancing tasks, responding to emergencies, and prioritizing projects in a dynamic work environment.

$13 - $20 an hour

This is a 30 hour per week position onsite in Mineral, Virginia.

Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job‑related knowledge, skills, and experience. Also, while we enjoy being together on‑site, we are open to exploring a hybrid or remote option.

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world‑class team that thrives on creativity, resilience, and bold thinking. With a decade‑long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations such as Deep Mind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self‑Driving, Zoox, Toyota Research Institute, and Space

X, we are set to achieve our ambitious goals.

Be Part of the…