{"schemaVersion":"jobsearcher.job.v1","id":"a0ff6fa716232d01daa1dae8","url":"https://jobsearcher.com/jobs/a0ff6fa716232d01daa1dae8","canonicalUrl":"https://jobsearcher.com/jobs/a0ff6fa716232d01daa1dae8","title":"Robotics Engineer (Remote)","description":"Robotics Engineer (Remote) — Rex.zoneRex.zone connects Mid-Senior engineers with full-time remote robotics roles supporting real-world automation and AI/ML training workflows. You will build and validate robotic perception and control systems while improving training data quality through data labeling, RLHF evaluation, prompt evaluation, and QA evaluation.What You’ll DoDeliver perception and autonomy features using ROS/ROS2, Python, and C++ across simulation and real-world testingWork on computer vision, sensor fusion, SLAM, and motion planning modulesDefine data requirements for model performance improvement, including labeling taxonomies (detection, tracking, depth, segmentation)Establish annotation guidelines compliance; perform computer vision annotation audits and inter-annotator agreement checks using QA evaluation metricsSupport RLHF evaluation and prompt evaluation workflows for language interfaces in robotic systemsPartner with data labeling teams and vendors to scale throughput while maintaining training data qualityValidate sensor fusion and SLAM outputs; triage dataset gaps; propose targeted collection and synthetic data strategiesContribute to content safety labeling for human-robot interaction prompts, logs, and UI outputs when neededRequired QualificationsMid-Senior experience shipping robotics or autonomy systems in production or applied researchStrong programming ability in Python and C++ with practical ROS/ROS2 experienceHands-on understanding of computer vision, sensor fusion, SLAM, and motion planning fundamentalsExperience with datasets for ML training: data labeling, QA evaluation, and error analysisFamiliarity with RLHF, prompt evaluation, or LLM evaluation concepts in applied settingsAbility to write clear specs, labeling instructions, and test plans for cross-functional teamsCompensation$30–$50 per hour (USD), base salary.Full-time, Remote.How To ApplyApply via Rex.zone and include a brief summary of robotics projects (ROS nodes, perception models, SLAM pipelines, motion planning, or evaluation tooling) plus examples of dataset work (annotation guidelines, QA evaluation reports, RLHF evaluation contributions, or LLM evaluation analyses).","company":"Rexzone","rawCompany":"rexzone","isRemote":true,"isActive":false,"createdAt":"2026-07-18T13:35:26.698Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robotics Engineer (Remote)","description":"Robotics Engineer (Remote) — Rex.zoneRex.zone connects Mid-Senior engineers with full-time remote robotics roles supporting real-world automation and AI/ML training workflows. You will build and validate robotic perception and control systems while improving training data quality through data labeling, RLHF evaluation, prompt evaluation, and QA evaluation.What You’ll DoDeliver perception and autonomy features using ROS/ROS2, Python, and C++ across simulation and real-world testingWork on computer vision, sensor fusion, SLAM, and motion planning modulesDefine data requirements for model performance improvement, including labeling taxonomies (detection, tracking, depth, segmentation)Establish annotation guidelines compliance; perform computer vision annotation audits and inter-annotator agreement checks using QA evaluation metricsSupport RLHF evaluation and prompt evaluation workflows for language interfaces in robotic systemsPartner with data labeling teams and vendors to scale throughput while maintaining training data qualityValidate sensor fusion and SLAM outputs; triage dataset gaps; propose targeted collection and synthetic data strategiesContribute to content safety labeling for human-robot interaction prompts, logs, and UI outputs when neededRequired QualificationsMid-Senior experience shipping robotics or autonomy systems in production or applied researchStrong programming ability in Python and C++ with practical ROS/ROS2 experienceHands-on understanding of computer vision, sensor fusion, SLAM, and motion planning fundamentalsExperience with datasets for ML training: data labeling, QA evaluation, and error analysisFamiliarity with RLHF, prompt evaluation, or LLM evaluation concepts in applied settingsAbility to write clear specs, labeling instructions, and test plans for cross-functional teamsCompensation$30–$50 per hour (USD), base salary.Full-time, Remote.How To ApplyApply via Rex.zone and include a brief summary of robotics projects (ROS nodes, perception models, SLAM pipelines, motion planning, or evaluation tooling) plus examples of dataset work (annotation guidelines, QA evaluation reports, RLHF evaluation contributions, or LLM evaluation analyses).","datePosted":"2026-07-18T13:35:26.698Z","dateModified":"2026-07-18T13:35:26.698Z","hiringOrganization":{"@type":"Organization","name":"Rexzone","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a0ff6fa716232d01daa1dae8"},"url":"https://jobsearcher.com/jobs/a0ff6fa716232d01daa1dae8"}}