Joy E.

I’m a detail-oriented IT Cloud Support Professional and Data Annotation Specialist with hands-on experience supporting enterprise cloud environments and AI training projects. I enjoy working on projects that require accuracy, problem-solving, and consistency, whether it is troubleshooting complex Microsoft 365 issues or labeling datasets for machine learning. In data annotation, I’ve worked with text, image, and video datasets, focusing on high-quality labeling, webpage element structuring, bounding box annotation, and task mapping across both macOS and Windows environments. I understand the importance of precision and clean data when training reliable AI models, and I’m comfortable following detailed project guidelines while maintaining quality at scale. On the IT side, I have experience supporting Microsoft 365 and Azure AD environments for enterprise users. My work has included resolving identity, security, and compliance issues, handling critical support tickets within SLA timelines, and creating clear technical documentation for users and internal teams. I’m known for being patient, analytical, and dependable when working through technical challenges. I take pride in delivering accurate work, communicating clearly, and adapting quickly to new tools and workflows. Whether it’s improving AI datasets or supporting cloud infrastructure, I focus on providing reliable results that clients can trust.