Robotics Data Collector: Hands-On AI Data for Robots

CNTXT AI; Doha; On-site; QAR 60,000 - 90,000; Full time

Job summary

CNTXT AI is seeking 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.

The ideal candidate is detail-oriented, technically curious, and comfortable working in lab and controlled real-world environments.

Qualifications

• 0-3+ years of experience in data collection, field operations, or lab environments.
• Technical or hardware-related roles.
• Comfortable working with cameras, sensors, and recording devices.
• Basic computer systems and tools.
• Strong attention to detail and the ability to follow instructions precisely.

Responsibilities

• Data collection execution using robotics and egocentric data capture (hands-on with cameras/sensors).
• Support operation and calibration of cameras and sensors during data collection sessions.
• Review data for completeness, clarity, and accuracy; flag issues.
• Prepare environments for data collection sessions and simulate real-world use cases.
• Maintain records of data collection sessions and equipment usage; report issues.
• Follow lab safety protocols and ensure data privacy and security requirements.

Skills

Data collection

Field operations

Lab environments

Attention to detail

Follow instructions

Tools

Cameras

Sensors

Recording devices

Basic computer systems

Job description

CNTXT AI is seeking 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.

The ideal candidate is detail-oriented, technically curious, and comfortable working in lab and controlled real-world environments.