Discover full-time Remote Robot Action Annotation Job Opportunities in Sweden at Rex.zone. As a senior data labeling expert, you will power AI/ML training pipelines by providing high-quality computer vision annotation, spatial tracking, and RLHF evaluation for advanced robotics. This remote role bridges human intelligence and machine learning, ensuring precise robot action recognition and model performance improvement. Join our global network of annotation vendors and AI labs to shape the future of autonomous systems through meticulous video annotation and QA evaluation. Explore freelance, contract, and full-time online jobs in AI/ML evaluation today.
Title: Remote Robot Action Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: Sweden Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robot Action Annotation, Computer Vision, Data Labeling, Machine Learning, Video Annotation, Spatial Tracking Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
We are seeking a Mid-Senior Remote Robot Action Annotation Specialist based in Sweden to enhance large language model evaluation and computer vision training data quality. In this full-time remote role, you will meticulously label complex robotic movements, apply named entity recognition to spatial data, and ensure strict annotation guidelines compliance. Your work directly impacts LLM training pipelines and computer vision models used by top AI labs and tech startups.
Execute precise computer vision annotation for robot action sequences. Conduct QA evaluation and prompt evaluation for multimodal AI models. Perform RLHF (Reinforcement Learning from Human Feedback) to refine robotic behavior algorithms. Maintain high training data quality and contribute to continuous model performance improvement. Collaborate with engineering teams at Rex.zone to optimize data labeling workflows and content safety labeling protocols.
Proven experience in data labeling, specifically in video annotation and CV for robotics. Strong understanding of AI/ML training pipelines and RLHF methodologies. Ability to maintain high accuracy and annotation guidelines compliance in a remote, independent work environment. Familiarity with named entity recognition and QA evaluation processes. Excellent analytical skills tailored for mid-senior engineering functions within the technology industry.
A specialist meticulously labels and categorizes robotic movements in video and spatial data. This computer vision annotation is critical for improving machine learning models, ensuring high training data quality, and supporting RLHF pipelines for autonomous systems.
Yes, these are full-time remote jobs available for professionals based in Sweden. You can work from anywhere within the country while collaborating with our global AI data operations team.
Candidates need expertise in robot action annotation, computer vision, data labeling, and machine learning. Experience with QA evaluation, prompt evaluation, and maintaining annotation guidelines compliance is highly valued.
Your precise video annotation and spatial tracking data directly feed into the training pipelines of advanced AI models. By providing high-quality labeled data and RLHF evaluation, you drive significant model performance improvement for robotics.
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