Discover full-time remote Robot Action Annotation Jobs in United States at Rex.zone. As a mid-senior data labeling expert, you will power AI training pipelines by annotating complex robotic movements, spatial tracking data, and computer vision datasets. This role is critical for improving model performance in embodied AI, requiring precise kinematics annotation, QA evaluation, and content safety labeling. Join our team of remote workers to shape the future of robotics through high-quality training data, RLHF, and large language model evaluation. Apply now for this engineering position to drive innovation in AI/ML.
Title: Robot Action Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: United States Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robot Action Annotation, Computer Vision, Data Labeling, Spatial Tracking, Kinematics Annotation, AI/ML Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
As a Robot Action Annotation Specialist, you will focus on computer vision annotation and named entity recognition applied to robotic systems. Your daily tasks involve precise data labeling of robotic joint movements, object manipulation, and environment navigation. You will ensure strict annotation guidelines compliance to guarantee training data quality for advanced AI models. By providing RLHF and QA evaluation, you directly contribute to model performance improvement in real-world scenarios.
Your responsibilities include evaluating prompt execution in robotic tasks, conducting computer vision annotation for spatial awareness, and performing content safety labeling for autonomous actions. You will collaborate with AI labs and tech startups to refine LLM training pipelines tailored for embodied AI. Whether you are reviewing freelance, contract, or full-time remote jobs, this role demands high accuracy in tracking kinematics and evaluating machine learning outputs.
Robot action annotation involves labeling spatial and kinematic data to train embodied AI models. It includes computer vision annotation, tracking robotic movements, and ensuring training data quality for machine learning pipelines.
Yes, these are full-time remote jobs based in the US. Rex.zone offers flexible opportunities for mid-senior professionals specializing in data labeling and QA evaluation.
Candidates need expertise in computer vision, kinematics annotation, spatial tracking, and RLHF. A strong background in ensuring annotation guidelines compliance for AI/ML training is essential.
By providing accurate prompt evaluation and QA for robotic actions, you help bridge the gap between LLM reasoning and physical execution, leading to significant model performance improvement.
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