Robotics Jobs Peru

Robotics Jobs Peru on Rex.zone focuses on search-recognizable Robotics Engineer roles supporting real-world robotics workflows: robot perception (CV), autonomy, motion planning, SLAM, embedded software, and simulation-to-real deployment. While robotics differs from RLHF and data labeling, these jobs still connect to AI/ML training pipelines through sensor data labeling, QA evaluation of perception models, prompt evaluation for human-robot interfaces, and safety validation for deployed systems. Explore remote, full-time robotics opportunities with AI labs, tech startups, BPOs, and robotics vendors, and apply directly through Rex.zone.

Robotics Jobs Peru

About the Role

As a Robotics Engineer, you will design, build, and validate robotic systems and autonomy features across perception, localization, planning, and control. You will work with sensor data (camera, LiDAR, IMU), implement and tune SLAM and sensor fusion, and ship robust software using ROS2. You will also contribute to AI/ML workflows by defining dataset requirements, partnering on data labeling for perception training data, and running QA evaluation to measure model performance improvement under real-world edge cases.

Key Responsibilities

You will develop and integrate robotics software modules for perception, SLAM, and motion planning; create and maintain ROS2 nodes, message interfaces, and launch configurations; run simulation testing in Gazebo and plan simulation-to-real validation; define annotation guidelines compliance needs for perception datasets and coordinate training data quality checks; perform evaluation protocols (offline metrics and on-robot tests) to ensure safety, reliability, and autonomy performance; debug timing, calibration, and sensor fusion issues; document system design, test plans, and deployment playbooks.

Required Qualifications

Mid-Senior experience building robotics systems; strong C++ and Python engineering skills; experience with ROS2, perception pipelines, and real-time constraints; hands-on knowledge of SLAM, sensor fusion, and coordinate frames; familiarity with motion planning and control concepts; ability to design evaluation plans, QA checks, and regression tests; comfort working with datasets, labeling workflows, and model evaluation for computer vision in robotics contexts.

Preferred Qualifications

Experience deploying to physical robots and handling calibration (intrinsics/extrinsics); familiarity with CV model training pipelines, dataset curation, and computer vision annotation; experience with content safety or safety validation processes for autonomous systems; exposure to LLM-based interfaces for robotics (prompt evaluation, tool use, command grounding); understanding of MLOps for robotics (versioning, reproducible experiments, telemetry).

Tools and Workflows

Typical workflows include ROS2 development, CI-based testing, simulation in Gazebo, hardware-in-the-loop validation, dataset collection and labeling, QA evaluation dashboards, and iterative tuning to improve robustness. You may collaborate with annotation vendors or in-house teams on data labeling, named entity recognition for command intents, and evaluation protocols for perception and autonomy.

Why Work With Rex.zone

Rex.zone connects candidates to remote, full-time roles across robotics, AI/ML, computer vision, and autonomy. You can explore modifier-aligned opportunities including remote, contract, freelance, full-time, entry-level, and senior roles across NLP, computer vision, content safety, and LLM training-adjacent programs, depending on team needs.

How to Apply

Apply through Rex.zone by submitting an updated resume and a brief summary of robotics projects (ROS2 packages, SLAM, perception, planning, deployment). Include links to repositories, technical write-ups, or demos if available, and highlight experience with evaluation, QA, and dataset workflows.

Frequently Asked Questions

Q: What does “Robotics Jobs Peru” mean on Rex.zone if the country is listed as US?
It is an SEO-aligned page targeting Robotics Jobs Peru while the LinkedIn-compatible job metadata for this posting uses the provided defaults (Country: US) and Remote Type: Remote. The role is remote and can support teams operating across regions.
Q: Is this role remote?
Yes. The job is explicitly marked Remote in the metadata and is designed for distributed engineering teams.
Q: Is this a full-time position?
Yes. Employment Type is FULL_TIME with annual compensation listed in USD.
Q: How does this robotics role relate to AI/ML training workflows mentioned on the page?
Robotics systems rely on perception and autonomy models that require sensor datasets, data labeling, training data quality checks, and QA evaluation. You may define annotation guidelines compliance needs, evaluate model performance improvement, and validate edge cases through simulation and on-robot testing.
Q: What skills are most important for this job?
Robotics engineering fundamentals plus ROS2, SLAM, computer vision, motion planning, sensor fusion, embedded C++, Python, and simulation (Gazebo). Experience running evaluation and QA processes for autonomy is also important.
Q: What types of employers hire for robotics roles on Rex.zone?
Depending on openings, employers can include AI labs, tech startups, robotics vendors, and teams that partner with BPOs or annotation vendors for dataset operations.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated - it's properly compensated.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks - we handle the rest.

Respect at the Core of Everything

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

Ready to Shape the Future of Engineering?

Apply Now.