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CNTXT AI
Robotics Data Collector - NorwayCNTXT AI • Norway, Norway, NO
Robotics Data Collector - Norway

Robotics Data Collector - Norway

CNTXT AI • Norway, Norway, NO
2 dager siden
Jobbeskrivelse

Job Description

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.

Execute tasks such as:

Object manipulation

Navigation scenarios

Human-robot interaction recordings

Follow detailed instructions to simulate real-world use cases.

5. Documentation & Reporting

Maintain records of:

Data collection sessions

Equipment usage

Issues encountered

Provide feedback to improve data collection processes and protocols.

6. 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

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.

Key Traits

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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Robotics Data Collector - Norway • Norway, Norway, NO

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