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Robotics Data Collector

Job in Jeddah, Saudi Arabia
Listing for: CNTXT AI
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Robotics, Data Annotation/ AI Labeling, AI Engineer (Applied/Software)
  • Research/Development
    Robotics, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 120000 - 150000 SAR Yearly SAR 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Robotics Data Collector )

Role Summary

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
.

We are 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
  • Data Collection Execution:
    Collect robotics and egocentric (first‑person) data using cameras (handheld, head‑mounted, or robot‑mounted). Execute data collection tasks based on predefined scenarios and protocols. Ensure consistent and accurate recording of actions, interactions, and environments.
  • 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.
  • Data Quality & Validation:
    Review collected data for clarity and accuracy. Identify and flag issues such as sensor misalignment. Follow quality guidelines to ensure high usability for AI training.
  • Experiment Setup & Execution:
    Prepare environments for data collection sessions. Execute tasks such as object manipulation and human‑robot interaction recordings. Follow detailed instructions to simulate real‑world use cases.
  • Documentation & Reporting:
    Maintain records of data collection sessions. Provide feedback to improve data collection processes and protocols.
  • Safety & Compliance:
    Follow all lab safety protocols and operational guidelines. Handle robotics equipment and sensors with care. Ensure compliance with data privacy and security requirements.
Required 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.
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.
  • Detail‑oriented and quality‑focused, hands‑on and execution‑driven, reliable and consistent in following protocols, comfortable working in dynamic environments, curious about robotics and AI.
Success Metrics
  • Volume and quality of data collected.
  • Accuracy and completeness of datasets.
  • Adherence to data collection protocols.
  • Reduction in data errors and rework.
  • Efficiency in executing data collection tasks.
Why Join CNTXT AI
  • Work on cutting‑edge robotics and AI systems.
  • Contribute to building next‑generation intelligent agents.
  • Gain hands‑on experience with robotics labs and real‑world data.
  • Be part of a fast‑growing, innovation‑driven company.
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