Robotics Jobs Brasília

Robotics Jobs Brasília focuses on hiring a search-recognizable Robotics Engineer for remote, full-time engineering work connected to real-world autonomy workflows. At Rex.zone, you will build and evaluate robotic perception, planning, and control systems while improving training data quality for ML-driven robotics. The role blends robotics software engineering with dataset creation, QA evaluation, prompt evaluation for robot-task instructions, and safety-focused validation. You will collaborate with cross-functional teams to develop simulation-to-real pipelines, annotation guidelines compliance, and model performance improvement across computer vision and sensor fusion. Explore this robotics job and apply through Rex.zone to support scalable robotics deployments.

Robotics Engineer

About the Role

You will design, implement, and evaluate robotics software for perception, planning, and control in a remote full-time setting. The work includes building training and evaluation datasets (computer vision annotation, named entity recognition for task logs, and content safety labeling), running QA evaluation and prompt evaluation for robot instruction-following, and improving model performance through careful error analysis. You will maintain annotation guidelines compliance, create clear labeling taxonomies, and connect data operations to robotics ML training pipelines, including RLHF where appropriate for preference-based behavior tuning. You will partner with engineering and data teams to ship reliable autonomy components, validate behavior in simulation, and support safe deployment practices.

Key Responsibilities

Own robotics perception, planning, and control modules with measurable reliability targets; build simulation-to-real evaluation workflows using recorded bags/logs and scenario replays; define and enforce annotation guidelines compliance for vision, sensor, and task data; perform QA evaluation of labeled datasets and model outputs to improve training data quality; run prompt evaluation for instruction-following and operator tooling used in robotics workflows; support RLHF-style preference data collection for behavior selection and safety constraints when applicable; conduct error analysis, regression testing, and benchmark reporting for model performance improvement; collaborate with cross-functional stakeholders to prioritize fixes and align on acceptance criteria.

Required Qualifications

Mid-Senior experience building robotics systems in production or advanced R&D; strong Python and C++ skills and comfort with ROS2-based development; hands-on knowledge of robot perception, computer vision, SLAM, and sensor fusion fundamentals; experience with motion planning and control systems, including debugging real-world edge cases; familiarity with dataset creation, data labeling workflows, and training data quality principles; ability to write clear documentation, labeling specs, and test plans; strong ownership mindset in a remote, asynchronous engineering environment.

Preferred Qualifications

Experience with autonomy evaluation, scenario generation, and simulation platforms (Gazebo/Ignition or equivalent); exposure to LLM-assisted robotics tooling, prompt evaluation, and safety review processes; familiarity with RLHF concepts, preference data design, and human-in-the-loop evaluation; background in content safety labeling, policy compliance, or safety-critical validation; experience with model monitoring, drift detection, and continuous evaluation pipelines.

Tech Stack and Workflows

Robotics: ROS2, motion planning, control systems, SLAM, sensor fusion; ML/AI: computer vision annotation, QA evaluation, training data quality review, prompt evaluation, RLHF-inspired preference workflows; Data: labeling taxonomies, annotation guidelines compliance, audit sampling, benchmark sets; Engineering: Python, C++, simulation tooling, CI-style regression evaluation, structured experiment tracking.

How to Apply

Apply through Rex.zone with a resume outlining robotics projects, deployed systems, or research contributions. Include links to repositories, technical write-ups, or demos that demonstrate perception/planning/control work, evaluation methodology, and how you improved model performance or system reliability using structured testing and data quality practices.

Frequently Asked Questions

Q: Is this role remote and full-time?
Yes. Remote Type is Remote and Employment Type is FULL_TIME, aligned with the job metadata for this posting on Rex.zone.
Q: Why does a robotics role mention data labeling, QA evaluation, and RLHF?
Modern robotics uses ML-driven perception and decision systems that depend on training data quality and rigorous evaluation. Data labeling, QA evaluation, prompt evaluation, and RLHF-style preference feedback can be part of improving autonomy behavior, safety, and reliability.
Q: What kind of robotics work is expected?
You will work across robot perception (computer vision, sensor fusion, SLAM), motion planning, and control systems, with simulation-to-real evaluation and regression testing to improve system performance.
Q: What skills should match this Robotics Jobs Brasília intent?
Skills should align with robotics engineering and autonomy workflows: ROS2, robot perception, sensor fusion, computer vision, SLAM, motion planning, control systems, Python/C++, simulation, and dataset labeling plus QA evaluation for ML components.
Q: What is the compensation range and pay period?
Salary Currency is USD with Salary Min 63360 and Salary Max 126720, Pay Period YEAR.
Q: Which company and location metadata apply?
Company is Rexzone, Country is US, and the role is Remote. The page targets the keyword Robotics Jobs Brasília while keeping the remote hiring metadata consistent for search and job platforms.

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