Data Collection Operator- AI Robotics (Swing Shift)
RoboForce · Milpitas, CA
Apply directly on RoboForce’s careers site — no account needed.
About the role
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- AI Robotics (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
Skills
- Python
- SQL
- TensorFlow
- pandas
- NumPy
- scikit-learn
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