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.

• 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.

• Professional background in Mechatronics Engineering or closely related discipline.
• Prior experience with video annotation or data labeling, especially for robotic or industrial automation systems.

Work arrangement: Fully remote

Applicant eligibility: 1 eligible country · 4 eligible regions

• Northern America, Latin America, Europe, UK, Oceania.