Job Description

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

Responsibilities

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

Requirements

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

Bonus Qualifications

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

Benefits

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  Lunches and dinners, a fully stocked kitchen.
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  The US hourly rate for this position is $30–$35.

Shift - Monday–Friday, 03:00 PM–11:00 PM