Mechatronics Engineer
Domain ExpertiseRemoteNorthern America, Latin America, Europe, UK, Oceania.Not specifiedContract$50–$90
Role Title: Mechatronics Engineer
Role Type: Contractor
Location: Northern America, Latin America, Europe, UK, Oceania.
micro1 is 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.
Skills
Video Annotation, Data Labeling, Attention to detail, Spotting Mechanical and Control Problems, Knowing Why Machines Fail, Understanding How Machines Move
- Experience
- Mid
- Time commitment
- Full-time
- Closing date
- 2026-11-28
- Posted at source
- 2026-09-29