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Robotics Data Collector (Saudi Arabia)

CNTXT AI
Riyadh, KSA
Part Time
Entry
Field
1 months ago
Data CollectionRobotics SystemsCamera OperationSensor CalibrationData Quality ValidationAttention to Detail
Free

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Role Summary

  • CNTXT AI is looking for a Robotics Data Collector to support collection of high quality robotics and egocentric data used to train AI models.
  • The role involves working hands on with robotic systems, sensors, and real world environments to capture multimodal datasets.

Key Responsibilities

  • Collect robotics and egocentric (first person) data using cameras (handheld, head mounted, or robot mounted) and sensors (IMU, depth cameras, etc.)
  • Execute data collection tasks based on predefined scenarios and protocols
  • Assist in operating robotic systems (humanoid or mobile robots) during data collection
  • Support setup and calibration of cameras and sensors
  • Review collected data for completeness, clarity, and accuracy
  • Identify and flag issues such as missing data, recording errors, sensor misalignment
  • Prepare environments for data collection sessions
  • Execute tasks such as object manipulation, navigation scenarios, human robot interaction recordings
  • Maintain records of data collection sessions, equipment usage, and issues encountered
  • Provide feedback to improve data collection processes and protocols
  • Follow all lab safety protocols and operational guidelines
  • Ensure compliance with data privacy and security requirements

Required Qualifications

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

Preferred Skills

  • Experience with robotics systems or hardware environments
  • Familiarity with egocentric or first person data collection
  • Computer vision or AI related datasets
  • Basic understanding of robotics concepts, sensors and data recording tools
  • Experience working in technical labs or research environments

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