Remote Robotics Annotation Job Opportunities in Poland

Discover full-time remote robotics annotation job opportunities in Poland with Rex.zone. We are actively recruiting engineering professionals to power AI/ML training pipelines through high-quality data labeling, computer vision annotation, and QA evaluation. As a remote data annotation specialist, you will directly influence model performance improvement for autonomous systems and robotics. Whether you are seeking contract, freelance, or full-time remote roles, this position demands strict annotation guidelines compliance and expertise in RLHF (Reinforcement Learning from Human Feedback). Join our global network of AI labs and tech startups to shape the future of spatial AI and large language model evaluation.

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Remote Robotics Data Annotation Specialist

Title: Remote Robotics Data Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: Poland Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robotics Annotation, Computer Vision, Data Labeling, 3D Point Cloud, QA Evaluation, RLHF Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR

Role Overview and AI/ML Workflows

As a senior annotator at Rex.zone, your primary focus is computer vision annotation and named entity recognition for complex spatial environments. You will ensure rigorous annotation guidelines compliance to drive continuous model performance improvement. This full-time remote position allows you to work from anywhere in Poland, collaborating seamlessly with top-tier AI labs, BPOs, and annotation vendors to refine autonomous navigation datasets.

Key Responsibilities in Data Labeling

Execute precise data labeling for robotics datasets, including 2D/3D bounding boxes, LiDAR point clouds, and semantic segmentation. Perform critical QA evaluation on LLM training pipelines and complex RLHF tasks. Maintain exceptional training data quality for real-world autonomous models. Conduct prompt evaluation and content safety labeling for advanced human-robot interaction systems.

Required Skills and Experience

Candidates must possess deep expertise in computer vision annotation, NLP, and large language model evaluation. Hands-on experience with 3D sensor data workflows and AI/ML training pipelines is essential. You should thrive in a remote, full-time environment and bring a strong background in engineering, data operations, or spatial data analysis to consistently meet high-quality standards.

Frequently Asked Questions

  • Q: What is the primary focus of this remote robotics annotation role?

    The role focuses on computer vision annotation, 3D point cloud data labeling, and QA evaluation to improve training data quality for autonomous robotic systems at Rex.zone.

  • Q: Can I apply for this position if I live outside of Poland?

    This specific job posting targets remote workers based in Poland. However, Rex.zone frequently hires for global remote, freelance, and contract roles across various AI/ML data operations.

  • Q: What skills are required for robotics data labeling?

    Essential skills include expertise in CV, RLHF, strict annotation guidelines compliance, and large language model evaluation. Familiarity with spatial data and AI training pipelines is highly valued.

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