Mining Robotics Jobs Belo Horizonte

Mining robotics engineers design, integrate, and validate autonomous and teleoperated systems used in mine operations, including perception, navigation, and safety controls. On Rex.zone, this remote full-time role supports real-world AI/ML workflows such as sensor data labeling, QA evaluation, computer vision annotation, and LLM-assisted procedure analysis to improve robot reliability and model performance improvement. You will work across simulation and field logs to ensure training data quality, annotation guidelines compliance, and robust deployment readiness for mining automation programs.

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Mining Robotics Engineer - Title: Mining Robotics Engineer - Date Posted: 25-02-2026 - Company: Rexzone - Country: US - Workplace Type: Remote - Employment Type: FULL_TIME - Experience Level: Mid-Senior - Industry: Technology - Job Function: Engineering - Skills: Mining robotics, ROS, autonomy stack, SLAM, computer vision, sensor fusion, LiDAR, safety engineering, simulation, QA evaluation - Salary Currency: USD - Salary Min: 63360 - Salary Max: 126720 - Pay Period: YEAR

About the Role

You will build and support mining robotics systems with an emphasis on perception, navigation, and operational safety. The work includes curating and evaluating multi-sensor datasets (camera, LiDAR, IMU, GNSS), defining labeling taxonomies, running prompt evaluation for LLM-generated maintenance insights, and performing QA evaluation to reduce error rates in autonomy decisions. You will collaborate with robotics, AI/ML, and operations stakeholders to translate production incidents into better training data quality and improved model performance in harsh mine environments.

What You Will Do

Responsibilities include: (1) Develop and test autonomy features for mining robots (haulage, inspection, mapping) using ROS-based pipelines; (2) Build evaluation harnesses for perception and planning, including scenario-based testing and regression tracking; (3) Specify and enforce annotation guidelines compliance for computer vision annotation and sensor fusion datasets; (4) Run QA evaluation on labeled data, monitor inter-annotator agreement, and implement sampling plans; (5) Support RLHF-style human feedback loops for LLM assistants used in procedures, dispatch notes, and incident triage; (6) Improve content safety labeling and policy alignment for operational instructions; (7) Document metrics such as precision/recall, collision risk proxies, localization drift, and dataset shift; (8) Partner with vendors and internal teams to scale data labeling and validation throughput.

Required Qualifications

Requirements include: (1) Mid-Senior experience in robotics, autonomy, or applied ML; (2) Hands-on knowledge of ROS/ROS2, C++ and/or Python, and robotics debugging; (3) Experience with SLAM, perception, computer vision, or sensor fusion; (4) Familiarity with dataset creation workflows: data labeling, QA evaluation, and taxonomy design; (5) Understanding of safety engineering concepts relevant to industrial robotics; (6) Ability to communicate clearly with cross-functional engineering and operations teams; (7) Comfort working remotely with distributed stakeholders and documented processes.

Preferred Qualifications

Nice to have: (1) Experience in mining, heavy industry, or field robotics; (2) Exposure to simulation tooling (e.g., Gazebo, Isaac Sim, Unity-based sims) and scenario generation; (3) Familiarity with computer vision annotation formats and tooling (COCO, KITTI-like schemas); (4) Knowledge of Named Entity Recognition for extracting entities from logs, work orders, or dispatch notes; (5) Experience designing prompt evaluation and LLM evaluation rubrics; (6) Understanding of functional safety practices and hazard analysis.

Workflows and Data You Will Touch

You will work with: multi-camera video streams, LiDAR point clouds, GNSS/IMU trajectories, telemetry time series, event logs, dispatch notes, maintenance records, and incident reports. Typical workflows include training data quality audits, annotation guidelines compliance checks, dataset balancing, edge-case mining, evaluation set curation, and model performance improvement through targeted re-labeling. You may also support content safety labeling for operational playbooks and ensure remote human-in-the-loop review processes are consistent and measurable.

Why This Role on Rex.zone

Rex.zone connects engineers with remote, full-time roles across AI labs, tech startups, and industrial automation teams. This position is designed for candidates who want to blend robotics engineering with AI/ML evaluation, data operations, and measurable QA practices—while maintaining a Remote workplace type. You will contribute to scalable pipelines that improve autonomy robustness, reduce operational risk, and accelerate deployment cycles.

How to Apply

Apply through Rex.zone with a resume highlighting mining robotics, autonomy stack work, and any experience with data labeling, QA evaluation, prompt evaluation, RLHF-style feedback loops, or computer vision annotation. Include links to relevant projects (repos, papers, demos) and describe how you measure training data quality and model performance improvement in robotics systems.

Frequently Asked Questions

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

    Yes. The workplace type is Remote and the employment type is FULL_TIME, aligned with the job metadata.

  • Q: Why does a mining robotics role mention data labeling and QA evaluation?

    Autonomy performance depends on high-quality datasets and rigorous evaluation. This role includes training data quality work such as computer vision annotation guidance, sensor dataset QA evaluation, and consistent annotation guidelines compliance to reduce model errors.

  • Q: Do I need experience with RLHF or LLM evaluation?

    It is helpful but not required. You may support RLHF-style human feedback and prompt evaluation for LLM assistants used to summarize logs, standardize procedures, or improve incident triage quality.

  • Q: What kind of robotics stack is relevant?

    Common stacks include ROS/ROS2, perception pipelines, SLAM, sensor fusion, and simulation-based testing. Experience validating autonomy behavior with measurable metrics is especially valuable.

  • Q: Is Belo Horizonte a location requirement if the job is remote?

    No. The role is Remote, while the page targets Mining Robotics Jobs Belo Horizonte as a search intent modifier. Candidates can work remotely while supporting programs related to that market.

  • Q: What employer types does Rex.zone support for this role family?

    Rex.zone features roles from AI labs, tech startups, industrial automation teams, BPOs, and annotation vendors supporting robotics and AI/ML training workflows.

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