Robotics Data Collector
Pubblicato il 07-10-2026 - CNTXT AI in Italia
CNTXT AI is a leading artificial intelligence company focused on building next-generation AI systems, products, and infrastructure . We specialize in developing multimodal AI, robotics, and intelligent agents , powered by high-quality real-world data. Data is at the core of our innovation. We invest heavily in data collection, annotation, and AI training pipelines to enable advanced systems such as embodied AI and Vision-Language-Action (VLA) models .
Role Summary
CNTXT AI is looking for a Robotics Data Collector to support the collection of high-quality robotics and egocentric data used to train AI models.
This role involves working hands-on with robotic systems, sensors, and real-world environments to capture multimodal datasets , including video, motion, and interaction data. You will play a key role in enabling the development of intelligent robotic systems and AI agents .
The ideal candidate is detail-oriented, technically curious, and comfortable working in lab and controlled real-world environments .
Key Responsibilities
1. Data Collection Execution
- Collect robotics and egocentric (first-person) data using:
- Cameras (handheld, head-mounted, or robot-mounted)
- Sensors (IMU, depth cameras, etc.)
- Execute data collection tasks based on predefined scenarios and protocols .
- Ensure consistent and accurate recording of actions, interactions, and environments .
2. Robotics Operation Support
- Assist in operating robotic systems (humanoid or mobile robots) during data collection.
- Support setup and calibration of:
- Cameras and sensors
- Recording systems
- Ensure proper functioning of hardware during experiments.
3. Data Quality & Validation
- Review collected data for:
- Completeness
- Clarity
- Accuracy
- Identify and flag issues such as:
- Missing data
- Recording errors
- Sensor misalignment
- Follow quality guidelines to ensure high usability for AI training .
4. Experiment Setup & Execution
- Prepare environments for data collection sessions .
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