Robotics Jobs Mérida

Robotics Jobs Mérida at Rex.zone connects Mid-Senior engineers with Remote, Full-Time roles building robotics software and AI/ML perception for real-world automation. You will develop robot autonomy workflows that combine sensor fusion, computer vision, SLAM, motion planning, and embedded integration, while improving model performance through training data quality, annotation guidelines compliance, and large language model evaluation when needed for human-in-the-loop ops. Work with robotics stacks (ROS/ROS2), simulation, QA evaluation, and safety testing to ship reliable systems for AI labs, tech startups, and enterprise teams. Explore Remote, contract, freelance, entry-level, and senior pathways on Rex.zone and apply to roles aligned with robotics engineering and ML-enabled automation.

Robotics Software Engineer (Remote, Full-Time)

Title: Robotics Software Engineer 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: ROS2, C++, Python, SLAM, Motion Planning, Sensor Fusion, Computer Vision, Gazebo, Isaac Sim, Git Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR You will design and implement robotics software for autonomous systems, focusing on navigation, perception integration, and reliable runtime performance. Day-to-day work includes ROS/ROS2 node development, hardware abstraction, real-time messaging, and simulation-driven testing. You will partner with ML and data operations teams to improve training data quality and ensure annotation guidelines compliance for perception datasets used in computer vision annotation (e.g., bounding boxes, segmentation, keypoints) and sensor fusion calibration. Key responsibilities: - Build and maintain ROS2-based autonomy services for localization, mapping, and planning. - Integrate perception outputs (CV models, depth, LiDAR, IMU) into robust sensor fusion pipelines. - Develop SLAM and navigation components, tune parameters, and evaluate field performance. - Create simulation scenarios for regression testing using Gazebo/Isaac Sim and recorded bag data. - Define QA evaluation metrics for autonomy behaviors (success rate, collision rate, latency, drift). - Collaborate on data labeling specs for edge cases; review labeled data for consistency and content safety labeling where required. What success looks like: - Improved model performance improvement via better datasets, clear labeling instructions, and measurable autonomy KPIs. - Reduced incident rate through test coverage, fault handling, and systematic evaluation. - Production-ready releases with reproducible builds, CI checks, and deployment documentation.

Robotics Perception Engineer (Remote, Full-Time)

Title: Robotics Perception Engineer 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: Computer Vision, Deep Learning, PyTorch, Sensor Fusion, LiDAR, Camera Calibration, Dataset Curation, Data Labeling, QA Evaluation, Model Monitoring Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR You will build perception systems that enable robots to detect, track, and understand the environment. This role connects ML training pipelines with robotics deployment: dataset curation, data labeling workflows, evaluation harnesses, and on-robot optimization. You will work with computer vision annotation strategies (2D/3D boxes, segmentation, pose) and ensure training data quality through clear annotation guidelines compliance and systematic QA evaluation. Key responsibilities: - Develop and improve perception models for detection, segmentation, depth, and tracking. - Own data pipelines: dataset sampling, bias checks, edge-case mining, and annotation task design. - Implement evaluation suites for offline/online testing and model performance improvement. - Coordinate labeling operations, including content safety labeling policies when needed. - Perform sensor calibration and fusion (camera/LiDAR/IMU) to improve robustness. - Monitor production metrics and diagnose drift, false positives, and latency regressions. What success looks like: - Higher precision/recall and better real-world robustness measured by repeatable benchmarks. - Clear labeling specs that reduce rework and improve annotation consistency. - Reliable release cadence with validated models and documented evaluation results.

Robotics QA & Evaluation Engineer (Remote, Full-Time)

Title: Robotics QA & Evaluation Engineer 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: Test Automation, Robotics QA, ROS2, Simulation Testing, Scenario Design, Data Annotation QA, Prompt Evaluation, RLHF, Safety Validation Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR You will establish quality systems for robotics autonomy, perception, and human-in-the-loop workflows. This includes scenario-based simulation testing, field log triage, and evaluation frameworks that connect training data quality to robot behavior. Where products include language-driven interfaces, you will support prompt evaluation and RLHF-style feedback loops to improve instruction-following and safety. Key responsibilities: - Build automated test suites for ROS2 components and autonomy stacks in simulation and replay. - Design evaluation scenarios and acceptance criteria for navigation, obstacle avoidance, and perception. - Create data annotation QA processes: sampling, disagreement analysis, and guideline refinement. - Run QA evaluation on model outputs, track regressions, and report root-cause analyses. - Support safety validation workflows and incident review, including content safety labeling checks. - Collaborate with engineering and data ops to improve annotation guidelines compliance and reduce failure modes. What success looks like: - Reduced regression escapes through strong test coverage and repeatable evaluation. - Measurable improvement in autonomy stability, safety metrics, and model reliability. - Clear dashboards and reporting that connect data issues to system behavior.

Working at Rex.zone (Remote Robotics Hiring)

Rex.zone is a platform for discovering Remote, Full-Time and flexible robotics roles across AI labs, tech startups, annotation vendors, and enterprise engineering teams. You may encounter adjacent postings that are contract, freelance, entry-level, or senior depending on team needs. For robotics programs that rely on AI/ML, you will often collaborate with data operations on data labeling, QA evaluation, named entity recognition for robotics logs, computer vision annotation, and large language model evaluation used in tooling and operator workflows. How to apply: - Search Rex.zone for Robotics Jobs Mérida and filter by Remote, FULL_TIME, experience level, and skills. - Prepare a resume highlighting ROS/ROS2, simulation, autonomy/perception results, and evaluation practices. - Include links to GitHub, publications, or demos showing robot behaviors and testing methodology.

Frequently Asked Questions

Q: Is this role Remote and Full-Time?
Yes. The roles listed on this page are explicitly Remote and FULL_TIME, aligned with the metadata under each job heading.
Q: Why does the page mention data labeling, QA evaluation, and RLHF?
Modern robotics teams often depend on AI/ML training pipelines. Perception models require data labeling and training data quality controls, while QA evaluation and prompt evaluation/RLHF may be used for language-driven robot interfaces or human-in-the-loop operations.
Q: What skills are most important for Robotics Jobs Mérida?
Common skills include ROS/ROS2, C++/Python, SLAM, motion planning, sensor fusion, computer vision, simulation testing, dataset curation, and safety/quality validation.
Q: Do you hire entry-level or senior candidates too?
This page is targeted to Mid-Senior roles, but Rex.zone may also list entry-level, senior, contract, or freelance robotics positions depending on employer demand.
Q: What industries and employer types are common for these roles?
Typical employers include AI labs, tech startups, annotation vendors supporting autonomy programs, and enterprise engineering teams building robotics products in the Technology industry.
Q: How can I improve my chances of getting hired?
Show evidence of shipped robotics systems, measurable model performance improvement, strong testing practices, and clear experience with evaluation workflows (simulation, replay, QA metrics) plus any relevant data pipeline or annotation QA experience.

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