[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-robotics-jobs-arequipa":3},{"Ques":4,"Slug":25,"Header":26,"job_category":39},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22],{"A":8,"Q":9},"Yes. The featured role is explicitly marked Remote and is structured for distributed collaboration using modern engineering toolchains.","Are these Robotics Jobs in Arequipa remote?",{"A":11,"Q":12},"Robotics systems rely on perception and autonomy models trained on curated datasets. Data labeling, QA evaluation, and model evaluation help improve training data quality and measure model performance improvement over time.","Why does a robotics role mention data labeling and evaluation?",{"A":14,"Q":15},"Computer vision (detection\u002Fsegmentation), sensor fusion, SLAM, autonomy testing, and increasingly LLM training pipelines for operator assist, instruction following, and prompt evaluation.","What AI\u002FML domains are most relevant to robotics on Rex.zone?",{"A":17,"Q":18},"Yes. The role is listed as FULL_TIME and is designed for ongoing product engineering and validation work.","Is the employment type full-time?",{"A":20,"Q":21},"Mid-Senior. Candidates should have prior delivery experience in robotics software, autonomy testing, or related engineering domains.","What experience level is targeted?",{"A":23,"Q":24},"Use the Rex.zone job page for Robotics Jobs in Arequipa to submit your application and review similar remote, contract, freelance, entry-level, and senior roles as they become available.","How do I apply on Rex.zone?","robotics-jobs-arequipa",{"desc":27,"title":28,"content":29},"Robotics jobs in Arequipa on Rex.zone focus on building and testing real-world robotic systems while supporting AI\u002FML training workflows that improve perception, autonomy, and safety. You will work in a Remote, Full-Time role aligned to engineering delivery, including robotics software development, simulation-to-real validation, computer vision perception, sensor fusion, and evaluation\u002FQA of autonomy behaviors. These roles connect robotics pipelines with modern AI concepts such as data labeling, prompt evaluation, model evaluation, training data quality, and content safety labeling where applicable to robot human-interaction logs and onboard telemetry.","Robotics Jobs in Arequipa",[30,33,36],{"h2":31,"desc":32},"Robotics Job Opening: Arequipa (Remote)","LinkedIn Job Metadata:\n- Title: Robotics Engineer (Arequipa)\n- Date: 25-02-2026\n- Company: Rexzone\n- Country: US\n- Remote Type: Remote\n- Employment Type: FULL_TIME\n- Experience Level: Mid-Senior\n- Industry: Technology\n- Job Function: Engineering\n- Skills: Robotics, ROS2, Python, C++, Computer Vision, SLAM, Sensor Fusion, Motion Planning, Gazebo, Simulation, Autonomy Testing, QA Evaluation, Data Labeling, LLM Evaluation\n- Salary Currency: USD\n- Salary Min: 63360\n- Salary Max: 126720\n- Pay Period: YEAR\n\nWhat You Will Do:\n- Design, implement, and maintain robotics software components for perception, localization, planning, and controls in production-grade systems.\n- Build and validate simulation-to-real workflows, including scenario generation, regression testing, and model performance improvement tracking.\n- Integrate sensors (camera, LiDAR, IMU, wheel odometry) and implement sensor fusion and SLAM pipelines.\n- Create evaluation protocols and QA evaluation checklists for autonomy behaviors, safety constraints, and edge-case handling.\n- Partner with AI teams to define training data quality requirements, annotation guidelines compliance, and data labeling strategies for perception datasets.\n- Contribute to large language model evaluation and prompt evaluation when robot logs or human-robot interaction data requires structured review.\n- Document system architecture, test results, and release criteria; participate in on-call and incident triage as needed.\n\nWhat We’re Looking For:\n- Mid-Senior engineering experience delivering robotics or autonomy features.\n- Strong Python and C++ skills; hands-on experience with ROS2 and modern CI\u002FCD testing practices.\n- Experience with computer vision annotation concepts, dataset curation, and evaluation metrics for perception models.\n- Familiarity with autonomy safety practices, including scenario-based testing and failure mode analysis.\n\nNice to Have:\n- Experience with RLHF-style feedback loops for improving agent behaviors or instruction-following components.\n- Exposure to content safety labeling for human-facing robot outputs or interaction logs.\n- Experience supporting annotation vendors or distributed QA operations across large datasets.\n\nHow To Apply:\n- Explore and apply via Rex.zone using the Arequipa robotics jobs page. Include a resume highlighting robotics deployments, autonomy testing, and any ML dataset\u002Fevaluation work.",{"h2":34,"desc":35},"Where These Robotics Jobs Fit in AI\u002FML Workflows","In addition to core robotics engineering, these roles connect to AI\u002FML training pipelines through:\n- Training data quality: defining acceptance criteria for sensor logs, perception frames, and autonomy traces.\n- Data labeling: supporting computer vision annotation (bounding boxes, segmentation, keypoints) and named entity recognition for structured robot logs where needed.\n- QA evaluation: running model evaluation, regression suites, and annotation guidelines compliance checks.\n- Prompt evaluation and LLM training pipelines: reviewing instruction-following behavior in robotics copilots or operator-assist tools.\n- Content safety labeling: assessing safety-critical outputs, operator communications, and human-interaction data for policy compliance.",{"h2":37,"desc":38},"Work Arrangement and Job Modifiers Covered","This page supports common search modifiers and intent states for Rex.zone visitors:\n- Remote and full-time roles (explicitly Remote).\n- Pathways that can include contract, freelance, entry-level, and senior openings depending on availability.\n- Domains: NLP, computer vision, content safety, and large language model evaluation as they intersect with robotics.\n- Employer types: AI labs, tech startups, BPOs, and annotation vendors supporting robotics data operations and QA.","Engineering"]