Robotics Data Capture Specialist — Portugal

Cntxt Ai; Almada; On-site; EUR 13,000 - 20,000; Full time

Job summary

CNTXT AI is seeking a Robotics Data Collector to support gathering high-quality robotics and egocentric data used to train AI models. You will work 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 settings.

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 ability to follow instructions precisely.

Responsibilities

• Data Collection Execution: Collect robotics and egocentric data using cameras and sensors; ensure consistent recording and proper functioning of hardware.
• Data Quality & Validation: Review collected data for clarity and accuracy; flag issues and follow quality guidelines.
• Experiment Setup & Execution: Prepare environments and perform tasks such as object manipulation and human-robot interaction recordings.
• Documentation & Reporting: Maintain records of data collection sessions and provide feedback to improve processes.
• Safety & Compliance: Follow lab safety protocols and ensure data privacy and security requirements.

Skills

Data collection

Field operations

Lab environments

Technical or hardware-related roles

Attention to detail

Following instructions

Tools

Cameras

Sensors

Recording devices

Computers

Job description

CNTXT AI is seeking a Robotics Data Collector to support gathering high-quality robotics and egocentric data used to train AI models. You will work 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 settings.