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Mechatronics Engineer – Remote

Remote / Online - Candidates ideally in
Santa Clarita, Los Angeles County, California, 91350, USA
Listing for: RemoteJobsOne
Remote/Work from Home position
Listed on 2026-10-01
Job specializations:
  • Engineering
    Robotics
Salary/Wage Range or Industry Benchmark: 50 - 90 USD Hourly USD 50.00 90.00 HOUR
Job Description & How to Apply Below
Mechatronics Engineer – Remote (Worldwide)

This is a fully remote position
, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $50–$90/hr

Role

Title:

Mechatronics Engineer

Role Type:
Contractor

Location:
Northern America, Latin America, Europe, UK, Oceania.

We are engaging Mechatronics Engineers to contribute to a specialized video annotation project for a customer's advanced robotics initiative.

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

You will review and annotate video footage of robotic arms performing complex tasks, tagging sessions based on provided grading guidelines.

Scope of Work

  • Review recorded video sessions of robotic arms executing various industrial tasks.
  • Apply provided grading and annotation guidelines to tag, classify, and comment on each session.
  • Identify, document, and categorize mechanical or control problems observed in the footage.
  • Utilize expert understanding of machine movement to pinpoint reasons for operational failures or inefficiencies.
  • Ensure all annotations are precise, comprehensive, and align with project standards to advance AI training quality.
  • Collaborate with project coordinators as needed to clarify ambiguities in guidelines or video content.
  • Deliver consistent, high-quality annotations within the framework and timeline established by the project.

Preferred Qualifications

  • Professional background in Mechatronics Engineering or closely related discipline.
  • Prior experience with video annotation or data labeling, especially for robotic or industrial automation systems.
  • Demonstrated ability to spot and interpret mechanical and control problems in complex machinery.
  • Strong attention to detail, with a record of producing accurate technical deliverables.
  • Understanding of why and how machines fail and the dynamics of robotic movement.
  • Experience supporting AI training or machine learning projects is highly preferred.
  • Ability to work autonomously and deliver results in a remote, asynchronous project environment.
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