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Entry Level Remote Mechatronics Engineer Jobs (NOW HIRING)

Radiance Technologies

R&D Engineer

Beavercreek, OH · On-site +1

Radiance is seeking an R&D Engineer who will continue advancement of infrared phenomenology and ... Experience and understanding of EO/IR signature phenomenologies specific to passive remote sensing ...

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Entry Level Remote Mechatronics Engineer information

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$59.5K

$90.5K

$153.5K

How much do entry level remote mechatronics engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for entry level remote mechatronics engineer in the United States is $90,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $105,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Remote Mechatronics Engineer vs Entry Level Remote Robotics Technician?

AspectEntry Level Remote Mechatronics EngineerEntry Level Remote Robotics Technician
Required CredentialsBachelor's in Mechatronics, Robotics, or Electrical EngineeringAssociate's or Bachelor's in Robotics, Electronics, or related field
Work EnvironmentDesign, develop, and test integrated mechanical and electronic systems remotelyMaintain, troubleshoot, and repair robotic systems remotely or on-site
Employer & Industry UsageManufacturing, automation, aerospace, and research companiesManufacturing plants, automation firms, and robotics service providers

While both roles involve working with robotic systems, the Entry Level Remote Mechatronics Engineer focuses on designing and developing integrated systems, whereas the Entry Level Remote Robotics Technician primarily handles maintenance and troubleshooting. Both roles require technical knowledge, but engineers typically have a stronger emphasis on design and development, often with a bachelor's degree, while technicians focus on operational support and repairs.

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Entry Level Remote Mechatronics Engineer jobs near you
Infographic showing various Entry Level Remote Mechatronics Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $90,511 per year, or $43.5 per hour.

Robotics/Mechatronics Expert - Remote

YO AI Labs

Seattle, WA • Remote

$80 - $100/hr

Full-time

Posted 6 days ago

Job description

Job Title: Robotics & Mechatronics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Robotics and Mechatronics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will apply your engineering knowledge to real-world robotics and mechatronics challenges while demonstrating how advanced AI coding agents can support complex technical workflows.

The ideal candidate combines hands-on expertise in robotics, mechatronics, system design, and engineering problem-solving with practical experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork.

No prior experience in AI training is required—your domain expertise, technical judgment, and ability to apply AI agents to sophisticated engineering problems are what matter most.

Scope of Work
  • Analyze and solve practical robotics and mechatronics problems using advanced AI coding agents.
  • Design, implement, test, and document solutions to challenging technical scenarios involving robotics and mechatronic systems.
  • Demonstrate how AI agents can be applied to complex, ambiguous, or large-scale engineering problems.
  • Use AI coding agents for tasks such as navigating large codebases, debugging complex issues, developing features, and optimizing technical workflows.
  • Document agent-driven workflows, including the technical context, decisions, prompts or instructions, generated code sequences, iterations, and outcomes.
  • Evaluate AI-generated solutions for technical correctness, reliability, maintainability, and practical engineering relevance.
  • Provide structured written and verbal feedback on AI agent performance, usability, limitations, and effectiveness.
  • Contribute real-world examples involving end-to-end feature development, system design, architectural changes, debugging, and workflow automation.
  • Collaborate remotely with project stakeholders to identify opportunities for using AI agents to accelerate robotics and mechatronics development.
Required Skills
  • Robotics
  • Mechatronics
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • System Design
  • Debugging Complex Codebases
  • End-to-End Feature Development
  • Technical Documentation
  • Problem-Solving
  • Written and Verbal Communication
  • Remote Collaboration
Preferred Qualifications
  • Current or recent professional experience in robotics, mechatronics, automation, controls, embedded systems, or a related STEM discipline.
  • Demonstrated hands-on experience with robotics or mechatronics projects involving software, hardware, control systems, sensors, actuators, or system integration.
  • Proven experience using Codex, Claude Science, Claude Code, and Claude Cowork to generate and execute multi-step code sequences for real-world engineering applications.
  • Experience applying AI coding agents beyond simple code generation, including debugging, system design, architecture, optimization, testing, and technical workflow automation.
  • Experience working with large or complex codebases and implementing end-to-end technical features.
  • Familiarity with major architectural changes, refactoring, system integration, and troubleshooting complex engineering software.
  • Ability to clearly document technical workflows and explain how AI agents contributed to engineering decisions and outcomes.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts clearly.
  • Experience working independently in remote, collaborative engineering environments.
  • Ability to provide concrete examples demonstrating how AI agentic workflows have improved technical problem-solving, development speed, or engineering productivity.