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micro1micro1

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
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