Model Evaluation Operator - AI Robotics (Swing Shift)

Why RoboForce

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. Our robots are engineered for demanding outdoor environments, with a focus on real-world deployment and scalability.

We are looking for a Model Evaluation

Operator - AI Robotics (Contractor) to help evaluate, validate, and improve robotic AI systems through structured real-world testing workflows. This role is ideal for someone who enjoys hands-on technical work, operating robotic systems, and working closely with cutting-edge robotics technology. You will play a key role in conducting open-loop and closed-loop model evaluations, running model inference, and operating real robots to execute actions with precision.

You will also collect high-quality operational data and performance feedback that directly contribute to improving our AI models. This is a highly hands-on role working with physical robotic systems in a lab/industrial environment.

Responsibilities

• Execute closed-loop robotic model evaluation workflows in real-world environments.
• Perform robotic manipulation and operational tasks with high consistency and accuracy.
• Closely observe and document robot behavior, model performance, task failures, recovery behavior, and edge cases in detail.
• Maintain accurate evaluation logs, notes, annotations, and performance records for engineering review.
• Identify and report inconsistencies, failure patterns, safety risks, and unexpected robot behaviors.
• Follow structured workflows for setup, execution, reset, troubleshooting, and evaluation procedures.
• Capture, organize, and annotate operational data to support AI model training and validation.
• Run Linux command-line tools and basic scripts for workflow execution and system operation.
• Assist with hardware setup, calibration, and maintaining stable robot operation.
• Collaborate with engineers and researchers to improve model evaluation quality and operational efficiency.
• Maintain lab organization, operational discipline, and safety standards.
• Physical Requirements & Work Schedule
• Ability to stand and walk for extended periods during data collection, including up to 7 hours per shift, with scheduled breaks.
• Ability to lift, carry, and position equipment weighing up to 30 lbs.
• Ability to use robotic control interfaces to repeatedly grasp, move, and position objects according to task instructions and defined accuracy requirements.
• Ability to safely navigate lab, industrial, and designated testing environments, including stairs and uneven surfaces where required.
• Ability to maintain focus and follow safety and data-quality procedures throughout repeated collection tasks.
• Available to work onsite in Milpitas with flexibility for occasional overtime or weekend assignments as needed.
• The physical tasks described above may be performed with or without reasonable accommodation.

Requirements

• Associate degree, Bachelor’s degree, technical certification, or equivalent hands-on experience in Robotics, Engineering, Computer Science, or related technical fields.
• Comfortable working with physical robotic hardware in a lab or industrial environment.
• Strong attention to detail and ability to carefully observe and document system behavior.
• Ability to stay focused and maintain quality during repetitive technical tasks over extended periods.
• Strong sense of operational consistency and process discipline.
• Basic familiarity with Linux command-line tools.
• Some exposure to Python or scripting tools (does not need to be advanced).
• Good troubleshooting and problem-solving mindset.
• Strong hand-eye coordination and spatial awareness.
• Reliable, patient, and comfortable working in iterative testing environments.
• Interest in robotics, AI systems, or real-world automation.
• Bonus Qualifications
• Experience with robotics systems, automation equipment, or technical lab environments.
• Familiarity with robotic manipulation or AI/robotics evaluation workflows.
• Experience with data collection, annotation, QA testing, or operational validation.
• Basic understanding of robot behavior, AI models, or control systems.
• Experience in repetitive precision-based work such as assembly, instrumentation, or equipment operation.