Title: Robot Action Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: United Kingdom Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robot Action Annotation, Computer Vision, Data Labeling, AI Training, Spatial Tracking Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR Explore remote Robot Action Annotation Jobs in United Kingdom at Rex.zone. As a data labeling expert, you will power AI training pipelines through computer vision annotation, spatial tracking, and QA evaluation for robotics. This full-time remote role focuses on improving training data quality and annotation guidelines compliance for embodied AI models. Join our team to shape the future of machine learning and large language model evaluation applied to physical systems.
In this remote Robot Action Annotation Specialist position, you will analyze and label complex robotic movements to enhance AI/ML model performance improvement. Your daily tasks involve computer vision annotation, identifying spatial coordinates, and ensuring strict annotation guidelines compliance. By providing high-quality training data, you directly contribute to RLHF (Reinforcement Learning from Human Feedback) pipelines for embodied AI.
Your primary focus will be on training data quality and QA evaluation. You will perform precise computer vision annotation on video feeds of robot actions, execute named entity recognition for objects interacting with robots, and conduct prompt evaluation for multimodal AI systems. You will collaborate with engineering teams across the United Kingdom and globally to refine LLM training pipelines and content safety labeling protocols.
Candidates should possess a strong background in data labeling and computer vision annotation. Familiarity with AI/ML training pipelines, RLHF evaluation, and large language model evaluation is essential. We are looking for mid-senior professionals seeking full-time, remote, or freelance opportunities who excel in maintaining training data quality. Previous experience in AI labs, tech startups, or annotation vendors is highly valued.
These are remote roles where specialists label and categorize robotic movements using computer vision annotation tools. The annotated data is used to train AI/ML models, improving their ability to understand and execute physical tasks.
While prior experience in RLHF (Reinforcement Learning from Human Feedback) and large language model evaluation is a strong plus, comprehensive training on our specific annotation guidelines compliance and QA evaluation processes is provided by Rex.zone.
Yes, these are full-time remote jobs available for candidates based in the United Kingdom. Rex.zone offers flexible remote work environments for data labeling experts and QA evaluation specialists.
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