Mechatronics Engineer – Remote (Worldwide)
Job Description:
IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.
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.
How to apply
Apply here with your profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.