Robotics Jobs Santiago

Robotics Jobs Santiago at Rex.zone connects mid-senior engineers with remote, full-time robotics roles building real-world autonomy systems. You will develop perception, sensor fusion, motion planning, and controls for robotic platforms, while aligning with modern AI/ML training workflows such as computer vision annotation, named entity recognition for logs, prompt evaluation for operator copilots, and QA evaluation to improve model performance. This role supports safe deployment through content safety labeling, data labeling, and large language model evaluation where needed for HRI and telemetry understanding. Explore Rex.zone to apply, compare remote opportunities, and contribute to reliable robotics systems.

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Job Metadata

[Title: Robotics Jobs Santiago] [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: Robotics, ROS2, Motion Planning, SLAM, Sensor Fusion, Computer Vision, Controls, Embedded Systems, Python, C++, Simulation, Gazebo, OpenCV, LiDAR, Calibration, Safety Engineering, Data Labeling, QA Evaluation, Computer Vision Annotation, LLM Evaluation, Prompt Evaluation, RLHF] [Salary Currency: USD] [Salary Min: 63360] [Salary Max: 126720] [Pay Period: YEAR]

About the Role

As part of Rex.zone’s robotics hiring pipeline, you will work remotely on full-time robotics engineering initiatives spanning perception, localization, mapping, planning, and controls. You will translate product requirements into tested robotic behaviors, integrate sensors (camera, LiDAR, IMU), and improve autonomy reliability through rigorous evaluation. When workflows include AI components, you will collaborate with data operations to define annotation guidelines compliance, training data quality targets, and QA evaluation criteria that support model performance improvement in real-world robotic environments.

What You Will Do

[Develop and maintain ROS2 nodes for perception, planning, and control] [Implement and tune motion planning and trajectory optimization for mobile robots or manipulators] [Build SLAM and localization pipelines using LiDAR, vision, IMU, and wheel odometry] [Design sensor fusion and calibration routines to improve robustness across environments] [Create simulation-first test harnesses (Gazebo or similar) to reproduce failures and validate fixes] [Define evaluation metrics for autonomy quality, including regression testing and scenario coverage] [Coordinate with AI/ML data pipelines for computer vision annotation, QA evaluation, and content safety labeling where robotics data is human-reviewed] [Support large language model evaluation or prompt evaluation for operator copilots or telemetry summarization systems when applicable]

Required Qualifications

[Mid-senior experience delivering production robotics features end-to-end] [Strong Python and C++ for robotics systems and performance-sensitive components] [Hands-on ROS2 experience, including tooling, launch, bags, and debugging] [Practical understanding of SLAM, sensor fusion, controls, and planning] [Experience working with computer vision systems (OpenCV) and sensor data pipelines] [Ability to write clear engineering documentation and test plans for safety-critical behavior]

Preferred Qualifications

[Experience with autonomy evaluation frameworks and scenario-based testing] [Experience with embedded systems constraints and real-time considerations] [Experience with dataset curation, data labeling workflows, or annotation guidelines compliance for robotics perception] [Familiarity with LLM training pipelines, large language model evaluation, RLHF, or prompt evaluation applied to robotics operations] [Background in safety engineering, risk assessment, and fail-safe design]

Tools and Workflows You Will Use

[ROS2, Gazebo, and simulation-based iteration] [Git-based development, CI, and regression testing] [Computer vision annotation and QA evaluation processes to maintain training data quality] [Sensor logs, telemetry analysis, and performance dashboards] [Documentation-driven engineering and review-based change management]

Compensation and Schedule

This is a remote, full-time role with annual pay in USD. The salary range is 63360 to 126720 per year, depending on relevant robotics scope, autonomy stack ownership, and delivery impact.

How to Apply on Rex.zone

[Create or update your Rex.zone profile with robotics projects, ROS2 stacks, and autonomy outcomes] [Upload a resume highlighting perception, SLAM, planning, controls, and simulation work] [Include links to repositories, publications, or demo videos if available] [Apply through the Robotics Jobs Santiago page and track your application status in Rex.zone]

Frequently Asked Questions

  • Q: Is this role remote and full-time?

    Yes. The role is explicitly Remote and FULL_TIME, aligned with the job metadata listed on the Robotics Jobs Santiago page.

  • Q: What types of robotics systems does this cover?

    Typical scope includes mobile robots and manipulators, autonomy stacks for perception, SLAM, sensor fusion, motion planning, and controls, plus simulation-first validation and field log debugging.

  • Q: How does AI/ML evaluation relate to robotics work here?

    Robotics teams often rely on computer vision models and telemetry understanding. You may collaborate on training data quality initiatives using computer vision annotation, QA evaluation, and sometimes LLM evaluation or prompt evaluation for operator tools.

  • Q: Do you require ROS2 experience?

    ROS2 experience is strongly expected for mid-senior robotics engineering, including building nodes, integrating sensors, and debugging with bags and tooling.

  • Q: What skills should my resume emphasize for Robotics Jobs Santiago?

    Emphasize ROS2, SLAM, sensor fusion, motion planning, controls, Python/C++, simulation, calibration, and measurable outcomes such as improved autonomy reliability, reduced failure rates, or better evaluation coverage.

  • Q: What is the salary range and pay period?

    The salary range is 63360 to 126720 USD per YEAR, as listed in the job metadata.

  • Q: Can this role involve data labeling or annotation work?

    Primarily it is an engineering role, but it may include defining annotation guidelines compliance, reviewing edge cases, and partnering with data operations to ensure training data quality for perception and safety-critical behaviors.

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