Mechatronics Engineer – Remote

RemoteJobsOne; Los Angeles (CA); Remote; USD 69,000 - 124,000; Part time

Job summary

RemoteJobsOne is seeking a Mechatronics Engineer to contribute to a remote, worldwide video-annotation project supporting a robotics AI initiative. You will review robotic-arm footage, apply grading guidelines, and produce precise labels for model training.

Ideal candidates hold a Mechatronics background, experience with robotics or industrial automation annotation, and a strong eye for detecting mechanical and control issues. Remote collaboration is essential.

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.

Responsibilities

• 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.

Skills

Mechatronics engineering

Video annotation

Robotics systems knowledge

Attention to detail

Remote autonomous work

AI training support

Mechanical/control problems analysis

Tools

Video annotation tools

Job description

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.