Explore remote Robot Action Annotation Jobs in Portugal at Rex.zone. Join our full-time and freelance AI data operations team to drive model performance improvement through expert computer vision annotation, RLHF, and QA evaluation for cutting-edge LLM training pipelines.
Title: Robot Action Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: Portugal Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robot Action Annotation, Computer Vision Annotation, Data Labeling, QA Evaluation, RLHF Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
As a senior remote data labeling expert at Rex.zone, you will drive model performance improvement by annotating complex robotic movements. Your work in computer vision annotation and QA evaluation directly impacts AI/ML training pipelines. This full-time remote role requires strict annotation guidelines compliance to ensure high training data quality for next-generation robotics and reinforcement learning from human feedback (RLHF).
Your daily tasks involve precise data labeling for robotic kinematics, spatial awareness, and object manipulation. You will conduct rigorous QA evaluation on computer vision datasets, perform prompt evaluation for robotic command systems, and ensure content safety labeling. By maintaining high training data quality, you help AI labs and tech startups achieve significant model performance improvement.
Candidates for these freelance and full-time remote jobs must possess a strong background in computer vision annotation, named entity recognition, and RLHF. Experience with large language model evaluation and AI/ML data operations is highly valued. You must demonstrate strict annotation guidelines compliance and a deep understanding of robotic action sequences within tech startups or annotation vendors.
These are specialized remote roles at Rex.zone where data labeling experts annotate video and sensor data of robotic movements. This computer vision annotation is crucial for RLHF and improving AI/ML training pipelines.
Yes, for mid-senior roles, experience in QA evaluation, named entity recognition, and maintaining training data quality is required to ensure strict annotation guidelines compliance.
Yes, Rex.zone offers full-time, contract, and freelance remote opportunities for AI data operations professionals based in Portugal, allowing you to work on cutting-edge large language model evaluation and robotics.
By providing highly accurate data labeling and RLHF evaluation, you directly enhance the training data quality used by AI labs, leading to safer and more efficient robotic actions in real-world environments.
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