Robotics Jobs Tegucigalpa

Robotics Jobs Tegucigalpa on Rex.zone focus on robotics engineering as a search-recognizable job entity: building, integrating, and validating robots that combine embedded systems, sensors, actuators, and autonomy software. This role supports real-world AI/ML workflows such as perception model training, computer vision annotation, LLM-assisted robotics documentation, and QA evaluation for safety-critical behavior. You will collaborate across hardware and software to improve reliability, motion planning, and on-robot inference, while maintaining training data quality and evaluation rigor for model performance improvement. Explore full-time remote opportunities with Rex.zone and apply to robotics jobs aligned to modern autonomy stacks, simulation, and production-grade deployment.

Robotics Jobs Tegucigalpa — Robotics Engineer

About the Role

You will design, integrate, and validate robotic systems across perception, planning, control, and hardware interfaces. The work includes building ROS2 nodes, integrating cameras and LiDAR, tuning control loops, and improving autonomy performance using simulation and field logs. You will also contribute to AI/ML training pipelines by curating datasets, defining annotation guidelines compliance, running prompt evaluation for robotics documentation and triage, and coordinating training data quality checks that support model performance improvement.

Key Responsibilities

Own robotics subsystem integration (compute, sensors, actuators) and ensure stable operation in production-like environments. Develop and test ROS2-based autonomy modules including SLAM, localization, obstacle detection, and motion planning. Implement sensor fusion pipelines and calibrations; analyze logs to identify failure modes and regression risks. Build simulation scenarios (Gazebo or equivalent) to reproduce issues and validate fixes before deployment. Define QA evaluation protocols for navigation safety, recovery behaviors, and edge-case handling; maintain test coverage and acceptance criteria. Partner with data operations teams on computer vision annotation, content safety labeling for on-robot data, and named entity recognition for structured logs and telemetry. Support LLM training pipelines for robotics copilots by contributing evaluation sets, prompt evaluation rubrics, and RLHF-style feedback where applicable.

Required Qualifications

Mid-Senior experience delivering robotics or autonomy features from prototype to field validation. Strong Python and C++ skills with production debugging, profiling, and unit/integration testing. Hands-on experience with ROS2, message design, TF frames, and real-time data pipelines. Practical knowledge of perception and navigation fundamentals (computer vision, SLAM, path planning, control). Experience integrating hardware components (cameras, IMU, LiDAR, motor controllers) and working with embedded or edge compute constraints. Ability to write clear engineering documentation and collaborate cross-functionally in remote, full-time teams.

Preferred Qualifications

Experience with safety validation workflows, fault injection, and operational monitoring for robotics fleets. Familiarity with dataset curation, training data quality methods, and large language model evaluation for robotics support tools. Experience with annotation vendors, BPO workflows, or internal labeling programs for perception datasets. Exposure to content safety labeling and privacy-aware data handling for onboard sensors. Experience deploying on-robot inference and optimizing latency, throughput, and reliability.

Tools and Workflows

Typical workflows include simulation-first testing, log-driven debugging, and staged deployments. You may use ROS2 tooling, Gazebo simulation, Python/C++ build systems, and version control for reproducible releases. For AI/ML support, workflows include dataset review, annotation guidelines compliance, QA evaluation, and prompt evaluation to improve model reliability and reduce hallucinations in robotics documentation and triage systems.

Employment Details

This is a full-time remote role listed on Rex.zone. While the page targets Robotics Jobs Tegucigalpa for search relevance, the position is explicitly Remote and based in the US for job metadata. Compensation is annual in USD within the stated range, depending on experience and scope.

How to Apply on Rex.zone

Apply through Rex.zone by submitting your resume and a brief summary of robotics systems you have shipped, including the autonomy stack (perception, planning, control), hardware used, and validation approach. If applicable, include examples of simulation test design, field log analysis, and any dataset or QA evaluation work supporting AI/ML components.

Frequently Asked Questions

Q: Are these Robotics Jobs Tegucigalpa roles remote or onsite?
This posting is explicitly Remote in the job metadata. The page targets the keyword Robotics Jobs Tegucigalpa while the role is listed as Remote and the country is US.
Q: What kind of robotics work is involved?
Expect end-to-end robotics engineering: ROS2 development, sensor integration, SLAM/localization, motion planning, control systems, simulation testing, and field validation. The role also interfaces with AI/ML workflows such as dataset curation, training data quality checks, and QA evaluation.
Q: Do I need AI/ML experience like RLHF or LLM evaluation?
Direct RLHF experience is helpful but not required. Familiarity with large language model evaluation, prompt evaluation, and structured QA evaluation is valuable, especially when supporting robotics documentation, troubleshooting copilots, or perception dataset workflows.
Q: What employment type and seniority is this role?
Employment Type is FULL_TIME and Experience Level is Mid-Senior, with Remote Type set to Remote.
Q: What skills should match the job keyword intent?
The skills align to robotics engineering intent: ROS2, embedded systems, sensor fusion, computer vision, SLAM, motion planning, autonomous navigation, Python, C++, simulation, hardware integration, control systems, QA evaluation, and safety validation.
Q: What salary range is listed and how is it paid?
Salary Currency is USD with Salary Min 63360 and Salary Max 126720, paid per YEAR.

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