Data Collection Operator; Swing Shift

Robo Force 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 seeking a Data Collection Operator (Contractor) to operate and support robotic systems through advanced robotic control interfaces. In this role, you will execute precise manipulation tasks across a variety of real-world workflows, while generating high-quality data to power Robo Force’s AI systems.

This is a hands-on, physical role requiring strong coordination, attention to detail, and sustained focus in a lab/industrial environment.

• Perform data collection tasks such as manipulation of objects, walk pre-determined routes, follow testing guidelines and test protocols at Robo Force facilities and in public environments.
• Start/stop recording devices and perform minor equipment and software debugging.
• Provide feedback on the performance of the equipment.
• Analyze and report on data collected during shift.
• Upload data collected and write daily reports detailing observations and issues.
• Maintain equipment in safe working condition, prioritize safety protocols, and communicate with leadership promptly.

• Associate’s or Bachelor’s degree (or equivalent experience).
• Familiar with using teleop tools like UMI style, GELLO style, VR-Based Systems, etc.
• Strong attention to detail and manual dexterity.
• Ability to follow detailed instructions and work independently with minimal supervision.
• Clear written communication and a collaborative attitude.
• Basic proficiency with software for data upload and reporting.
• Ability to perform technical troubleshooting on equipment and willingness to learn new technologies quickly.

• Experience with robotic systems, teleoperation, or related fields.
• Basic working knowledge and familiarity with computer software interfaces and tools (e.g., the command line, bash, linux OS).
• Hands-on experience annotating video (boxes/masks/keypoints, action labels, ).
• Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction.
• Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs).

• Lunches and dinners, a fully stocked kitchen.
• The US hourly rate for this position is $30–$35.
• Shift - Monday–Friday, 03:00 PM–11:00 PM