[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-robotics-jobs-honduras":3},{"Ques":4,"Slug":25,"Header":26,"job_category":50},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22],{"A":8,"Q":9},"Yes. The role is explicitly Remote and listed on Rex.zone for candidates searching Robotics Jobs Honduras who want full-time remote engineering opportunities.","Is this a remote role even though the page targets Robotics Jobs Honduras?",{"A":11,"Q":12},"You will work on robotics perception and autonomy (computer vision, sensor fusion, SLAM, motion planning) and on evaluation workflows that improve ML and LLM components used in robotic systems.","What kind of robotics work is involved?",{"A":14,"Q":15},"Robotics systems increasingly use language interfaces and learned policies. RLHF evaluation and prompt evaluation help align robot behavior and language outputs, while data labeling and QA evaluation ensure training data quality for perception and decision modules.","How do RLHF and data labeling relate to robotics in this job?",{"A":17,"Q":18},"Common datasets include camera and lidar streams, segmentation masks, tracking labels, map artifacts, IMU\u002FGNSS logs, and interaction transcripts. Work can include computer vision annotation audits, named entity recognition for logs, and content safety labeling when robot UIs are involved.","What datasets might I work with?",{"A":20,"Q":21},"Employment Type is FULL_TIME and Experience Level is Mid-Senior, with Remote Type marked Remote.","What employment type and seniority is this posting?",{"A":23,"Q":24},"Highlight robotics engineering plus AI\u002FML data operations skills: ROS, computer vision, sensor fusion, SLAM, motion planning, Python, C++, data labeling, RLHF, and QA evaluation—especially work that improved model performance improvement and training data quality.","What skills should I highlight to match the Robotics Jobs Honduras intent?","robotics-jobs-honduras",{"desc":27,"title":28,"content":29},"Robotics Jobs Honduras on Rex.zone connects Mid-Senior engineers with full-time remote robotics roles supporting real-world automation and AI\u002FML training workflows. You will help build and validate robotic perception and control systems while generating high-quality training signals through data labeling, RLHF evaluation, prompt evaluation, and QA evaluation. Your work may include named entity recognition for robot logs, computer vision annotation for sensor data, and content safety labeling for human-in-the-loop interfaces—directly improving model performance improvement and training data quality. Explore remote, contract, freelance, full-time, entry-level, and senior pathways across NLP, computer vision, content safety, and LLM training pipelines, with opportunities spanning AI labs, tech startups, BPOs, and annotation vendors—discover and apply via Rex.zone.","Robotics Jobs Honduras",[30,32,35,38,41,44,47],{"h2":28,"desc":31},"LinkedIn Job Metadata: Keyword: Robotics Jobs Honduras | Job Title: Robotics Engineer (Remote)\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Robotics, ROS, Computer Vision, Sensor Fusion, SLAM, Motion Planning, Reinforcement Learning, Python, C++, Data Labeling, RLHF, QA Evaluation\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR",{"h2":33,"desc":34},"About the Role","As a Robotics Engineer (Remote), you will design, integrate, and evaluate robotics software modules for perception, localization, mapping, and control. You will collaborate with ML engineers and data operations teams to create and review annotation guidelines compliance for sensor datasets (camera, lidar, IMU), perform computer vision annotation audits, and run QA evaluation to ensure training data quality. You will also contribute to RLHF evaluation and prompt evaluation workflows where robots interact with language interfaces, improving large language model evaluation signals that support safe and reliable autonomy. This is a full-time remote role posted on Rex.zone and aligned to robotics jobs Honduras search intent.",{"h2":36,"desc":37},"Key Responsibilities","Deliver perception and autonomy features using ROS\u002FROS2, Python, and C++ across simulation and real-world testing. Define data requirements for model performance improvement, including labeling taxonomies for object detection, tracking, depth, and segmentation. Establish and enforce annotation guidelines compliance; review edge cases and perform inter-annotator agreement checks with QA evaluation metrics. Support RLHF evaluation loops for robot decision-making and language-based tasking; document preference policies and reward modeling criteria. Partner with data labeling teams and annotation vendors to scale throughput while maintaining training data quality. Validate sensor fusion and SLAM outputs; triage dataset gaps; propose targeted collection and synthetic data strategies. Contribute to content safety labeling for human-robot interaction prompts, logs, and UI outputs where needed.",{"h2":39,"desc":40},"Required Qualifications","Mid-Senior experience shipping robotics or autonomy systems in production or applied research. Strong programming ability in Python and C++ with practical ROS\u002FROS2 experience. Hands-on understanding of computer vision, sensor fusion, SLAM, and motion planning fundamentals. Experience defining or reviewing datasets for ML training, including data labeling, QA evaluation, and error analysis. Familiarity with RLHF, prompt evaluation, or large language model evaluation concepts in applied settings. Ability to write clear specs, labeling instructions, and test plans for cross-functional teams.",{"h2":42,"desc":43},"Preferred Qualifications","Experience with simulation tooling (e.g., Gazebo, Isaac Sim) and dataset generation pipelines. Knowledge of reinforcement learning and reward shaping for robotics policies. Exposure to named entity recognition or structured extraction from robot telemetry and incident reports. Experience collaborating with AI labs, tech startups, BPOs, or annotation vendors to scale LLM training pipelines. Understanding of content safety labeling and policy-based evaluation for human-facing robot behaviors.",{"h2":45,"desc":46},"Compensation and Employment Details","This is a FULL_TIME, Remote role with compensation in USD on a YEAR pay period. Salary range: 63360 to 126720 USD per year (depending on skills alignment, robotics scope, and evaluation responsibilities).",{"h2":48,"desc":49},"How to Apply on Rex.zone","Apply through Rex.zone by submitting your resume and a brief summary of robotics projects (ROS nodes, perception models, SLAM pipelines, motion planning, or evaluation tooling). Include examples of dataset work such as annotation guideline design, QA evaluation reports, RLHF evaluation contributions, or large language model evaluation analyses that demonstrate training data quality impact.","Engineering"]