Robotics Annotation Jobs in Norway

Explore remote robotics annotation jobs in Norway at Rex.zone. Join our engineering team to provide high-quality computer vision annotation, 3D bounding boxes, and LiDAR labeling for advanced AI/ML training pipelines. Improve model performance through precise data labeling, RLHF, and quality assurance for leading AI labs.

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Job Details: Robotics Annotation Specialist

Title: Robotics Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: Norway Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robotics Annotation, Computer Vision, LiDAR Labeling, 3D Bounding Boxes, Semantic Segmentation, AI Data Labeling, RLHF Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR

About the Role

As a Robotics Annotation Specialist working remotely in Norway, you will play a critical role in shaping the future of autonomous systems. Your primary responsibility involves executing complex computer vision annotation and LiDAR labeling tasks. By ensuring strict annotation guidelines compliance, you directly contribute to model performance improvement for our global AI lab partners. This full-time remote role at Rex.zone requires deep expertise in spatial data labeling, QA evaluation, and semantic segmentation for robotics LLM training pipelines.

Key Responsibilities

You will manage end-to-end training data quality by annotating 2D and 3D sensor data. Tasks include drawing 3D bounding boxes, performing named entity recognition for robotics logs, and executing RLHF (Reinforcement Learning from Human Feedback) for robotic process automation models. You will also conduct prompt evaluation, large language model evaluation, and content safety labeling to ensure autonomous agents operate securely and effectively within their physical environments.

Frequently Asked Questions

  • Q: What skills are required for robotics annotation jobs in Norway?

    Candidates need strong experience in computer vision annotation, LiDAR labeling, and 3D bounding boxes. Familiarity with AI/ML training pipelines, QA evaluation, and large language model evaluation is highly preferred for senior remote roles.

  • Q: Is this a fully remote position?

    Yes, this is a full-time remote position. While the role targets professionals based in Norway for localized robotics data labeling, you will collaborate globally with the Rex.zone team as a remote worker.

  • Q: What is the compensation for this role?

    The salary ranges from 63360 to 126720 USD per year, depending on your experience level in AI data operations, computer vision, and reinforcement learning from human feedback (RLHF).

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