[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-mining-robotics-jobs-peru":3},{"Ques":4,"Slug":25,"Header":26,"job_category":54},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22],{"A":8,"Q":9},"Yes. This posting is explicitly a Remote, FULL_TIME role while supporting Peru-aligned mining robotics programs and stakeholders.","Are these mining robotics jobs in Peru remote?",{"A":11,"Q":12},"They design and support autonomous or teleoperated robotic systems such as autonomous haulage, drilling automation, inspection robotics, and perception\u002Flocalization stacks, with a focus on safety, reliability, and production uptime.","What does a Mining Robotics Engineer do in mining operations?",{"A":14,"Q":15},"Robotics performance depends on high-quality training data and evaluation: computer vision annotation, sensor fusion ground truth, training data quality checks, QA evaluation of model outputs, and continuous feedback loops that drive model performance improvement.","How does AI\u002FML data work relate to mining robotics roles?",{"A":17,"Q":18},"Key skills include mining robotics, ROS2, SLAM, computer vision, sensor fusion, LiDAR, telemetry monitoring, and safety systems engineering, plus experience validating models in field-like conditions.","What skills are most important for this role?",{"A":20,"Q":21},"No. The experience level is Mid-Senior, and the responsibilities include ownership of autonomy features, field readiness, evaluation frameworks, and reliability improvements.","Is this an entry-level position?",{"A":23,"Q":24},"Employment Type is FULL_TIME and the Pay Period is YEAR, with salary ranges provided in USD.","What employment type and pay period are offered?","mining-robotics-jobs-peru",{"desc":27,"title":28,"content":29},"Mining robotics jobs in Peru focus on designing, deploying, and supporting autonomous and teleoperated robotic systems used in mining operations—autonomous haulage, drilling automation, inspection drones, and remote sensing—while improving safety, uptime, and productivity. At Rex.zone, these roles connect real-world robotics workflows with modern AI\u002FML training pipelines, including computer vision annotation, sensor fusion datasets, QA evaluation, and continuous performance monitoring to drive model performance improvement. Explore full-time remote opportunities that collaborate with engineering teams across mining sites, OEMs, and technology vendors to deliver reliable field robotics in harsh environments.","Mining Robotics Jobs Peru",[30,33,36,39,42,45,48,51],{"h2":31,"desc":32},"Mining Robotics Engineer (Peru) — Remote","Title: Mining Robotics Engineer (Peru) — Remote | Date: 25-02-2026 | Company: Rexzone | Country: US | Remote Type: Remote | Employment Type: FULL_TIME | Experience Level: Mid-Senior | Industry: Technology | Job Function: Engineering | Skills: mining robotics, autonomous haulage systems, robotic perception, ROS2, SLAM, computer vision, sensor fusion, LiDAR, telemetry monitoring, safety systems engineering | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR",{"h2":34,"desc":35},"About the Role","You will build and support robotic and autonomy features for mining operations connected to Peru-based programs, focusing on perception, navigation, remote operations, and reliability engineering. You will collaborate with cross-functional teams to define requirements, integrate sensors (LiDAR, cameras, radar), validate autonomy performance, and improve system safety. The work includes dataset development for computer vision and sensor fusion, annotation guidelines compliance, QA evaluation of model outputs, and feedback loops that improve model performance improvement over time. You will partner with platform stakeholders at Rex.zone to ensure data\u002Ftelemetry readiness, robust testing, and measurable operational outcomes.",{"h2":37,"desc":38},"Key Responsibilities","Responsibilities include: owning autonomy\u002Frobotics features from prototype to field rollout; integrating ROS2 nodes, vehicle interfaces, and perception pipelines; building evaluation harnesses for navigation, obstacle detection, and localization; defining data capture plans and telemetry KPIs; conducting root-cause analysis on field incidents and performance regressions; coordinating labeling and QA evaluation for vision datasets (bounding boxes, segmentation, lane\u002Fberm detection) and sensor fusion ground truth; enforcing annotation guidelines compliance and training data quality; contributing to safety cases, hazard analysis, and operational readiness reviews; documenting procedures for remote operations and maintenance.",{"h2":40,"desc":41},"Required Qualifications","Qualifications include: mid-senior experience in robotics, autonomy, or industrial automation; strong programming in Python and\u002For C++; experience with ROS2, SLAM\u002Flocalization, perception, and sensor fusion; familiarity with LiDAR\u002Fcamera calibration, time synchronization, and field data logging; understanding of safety systems engineering and reliability in harsh environments; ability to design experiments, interpret metrics, and communicate tradeoffs to stakeholders; experience collaborating with data labeling or computer vision annotation workflows for model evaluation.",{"h2":43,"desc":44},"Preferred Qualifications","Preferred: experience with mining equipment autonomy (haul trucks, drills, loaders) or off-road robotics; knowledge of content safety labeling for operational video and privacy-safe data handling; experience with prompt evaluation and LLM tooling for triage, incident summarization, and documentation; exposure to RLHF-style feedback processes for human-in-the-loop evaluation; experience building dashboards for telemetry monitoring, model drift detection, and continuous validation; familiarity with geospatial systems and GNSS\u002FINS integration.",{"h2":46,"desc":47},"What You Will Work With","Typical stack includes: ROS2, Python\u002FC++, perception models for computer vision, SLAM\u002Flocalization toolchains, LiDAR and camera pipelines, telemetry monitoring and logging, simulation and test harnesses, QA evaluation workflows, annotation tools for training data quality, and safety review processes. You will interface with AI\u002FML training pipelines where labeled data, model evaluation, and continuous improvement are core operational practices.",{"h2":49,"desc":50},"Why Rex.zone","Rex.zone supports teams hiring for real-world AI\u002Frobotics programs by connecting engineering execution with measurable data quality and evaluation loops. You will work in a remote full-time role with clear ownership, structured QA evaluation, and a focus on safe deployment and continuous model performance improvement in mining robotics contexts tied to Peru-based initiatives.",{"h2":52,"desc":53},"How to Apply","Apply through Rex.zone by submitting your resume and a brief summary of your robotics deployments, perception\u002Flocalization work, and any experience with computer vision annotation, dataset QA, or evaluation frameworks. Include links to projects, publications, or repositories where applicable.","Engineering"]