Robotics Jobs Mexico

Robotics Jobs Mexico at Rex.zone connect Mid-Senior engineers with full-time, remote robotics roles that build real-world automation systems end to end—from perception and sensor fusion to motion planning, controls, simulation, and on-robot testing. These jobs support modern AI/ML training workflows too: data labeling for computer vision, QA evaluation for model performance improvement, prompt evaluation for operator tooling, and RLHF-style human feedback loops that improve autonomy, safety, and reliability. Explore robotics engineering openings spanning ROS 2, embedded systems, SLAM, and fleet operations while staying anchored to Rex.zone for applied, production-grade robotics work.

Robotics Jobs Mexico

What You Will Do

Design, implement, and validate robotics software for autonomous systems using ROS 2 nodes, topics, services, and lifecycle management; build perception pipelines for object detection, semantic segmentation, and tracking, including computer vision annotation needs and training data quality checks; develop SLAM and localization components (visual-inertial, LiDAR, wheel odometry) with sensor fusion and calibration; implement motion planning and control (trajectory generation, MPC/PID control loops, collision avoidance) with safety constraints; run simulation-first development in Gazebo/Ignition and create reproducible test scenarios for regression; define QA evaluation protocols including on-robot acceptance tests, failure mode analysis, and model performance improvement tracking; collaborate with cross-functional teams to integrate embedded firmware, networking, and cloud telemetry for fleet monitoring.

AI/ML Training And Evaluation Workflows You Will Support

Partner with data operations to create annotation guidelines compliance for computer vision labeling (bounding boxes, segmentation masks, keypoints) and content safety labeling for human-robot interaction logs; contribute to prompt evaluation and operator-assist tooling that uses large language models for debugging, reporting, and runbook generation; provide human feedback loops (RLHF-style preferences) on autonomy behaviors to improve policy performance, reduce interventions, and increase reliability; run QA evaluation on perception and planning models using offline datasets, scenario-based tests, and on-robot trials; improve dataset curation with named entity recognition for mission logs and structured event labeling for incidents and near-misses.

Required Qualifications

Mid-Senior experience delivering production robotics systems; strong Python and C++ for real-time robotics software; hands-on ROS 2 experience with debugging tools (rosbag, rviz, rqt); solid foundations in estimation, control systems, kinematics/dynamics, and motion planning; experience with computer vision and sensor fusion; comfort working on Linux with CI/CD and reproducible builds; ability to create clear test plans, QA evaluation metrics, and documentation suitable for regulated or safety-conscious environments.

Preferred Qualifications

Experience shipping autonomous mobile robots (AMRs), drones, manipulators, or industrial automation; familiarity with embedded systems, microcontrollers, and real-time constraints; experience with simulation and synthetic data generation; exposure to ML pipelines for perception models, dataset management, and model monitoring; knowledge of safety standards and hazard analysis; experience coordinating with annotation vendors and defining training data quality KPIs.

Work Environment And Employment Details

Remote Type: Remote; Employment Type: FULL_TIME; Experience Level: Mid-Senior; Job Function: Engineering; Industry: Technology. You will collaborate asynchronously with distributed teams and may support occasional scheduled tests aligned to robot lab availability or customer environments.

Compensation

Salary Range: 63360 to 126720 USD per YEAR, depending on scope, role fit, and interview outcomes.

How To Apply On Rex.zone

Apply through Rex.zone by submitting an updated resume and a brief summary of robotics projects (ROS 2 packages, perception/planning modules, simulation work, controls tuning, and field testing). Include links to portfolios or repositories where possible and describe your approach to training data quality, QA evaluation, and reliability engineering for autonomous systems.

Frequently Asked Questions

Q: Is this role remote and full-time?
Yes. Remote Type is Remote and Employment Type is FULL_TIME.
Q: Why does a robotics role mention data labeling and RLHF?
Modern robotics relies on AI/ML workflows: computer vision annotation improves perception datasets, QA evaluation validates model performance, prompt evaluation supports operator tooling, and RLHF-style feedback loops help refine autonomy behavior and safety outcomes.
Q: What robotics stack is most relevant for this job?
ROS 2, Python, C++, SLAM/localization, sensor fusion, motion planning, and control systems are core, plus simulation (Gazebo/Ignition) and Linux-based development.
Q: What kind of projects should I highlight to match Robotics Jobs Mexico intent?
Show end-to-end robotics delivery: perception pipelines, SLAM, planning/control, simulation regression tests, on-robot validation, and measurable improvements in training data quality or QA evaluation processes.
Q: What salary range is offered?
The salary range is 63360 to 126720 USD per YEAR.

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