
I am an IT Specialist with remote support experience where I diagnosed and resolved technical issues for employees, communicated solutions clearly, and ensured customer satisfaction. I also have a quality assurance background as an AI Data Annotation Specialist where I evaluated content for accuracy, identified errors, and maintained high standards. I’m proficient in communication tools including MS Teams, Zoom, and chat platforms, as well as data management tools like Excel and Google Sheets. What makes me a strong customer service professional is my ability to communicate clearly with customers at all technical levels, listen patiently to their concerns, and provide thoughtful solutions. I’m detail-oriented and thorough in documenting interactions and following company procedures to ensure nothing falls through the cracks. As an employee, I’m reliable and committed to delivering consistent quality work every single day. I’m responsive and patient with customer frustrations because I understand that support is about making people feel heard and helped. I’m genuinely eager to learn new systems and procedures, and I follow directions precisely without cutting corners. Most importantly, I don’t just answer questions—I take a proactive approach to solve problems and follow up to ensure customers are truly satisfied, because I believe that’s what sets great customer service apart.
Provided remote technical support to work-from-home employees, diagnosing and resolving hardware, software, and connectivity issues. Managed Wi-Fi configuration, router troubleshooting, and LAN setup. Performed system maintenance including OS and driver updates. Installed and configured printers. Documented issues in ticketing system and communicated resolutions to reduce downtime.
Annotated image and video datasets for computer vision model training. Identified visual attributes and created structured prompts describing objects and spatial relationships. Performed video object tracking across sequences. Collected training data from online sources. Evaluated text-to-speech outputs against quality guidelines. Ensured dataset accuracy and compliance through strict guideline adherence and maintained high consistency across large volumes of work.