Data Labeling / AI Training Associate
While I am transitioning into formal data labeling and AI training work, my previous roles have involved tasks closely aligned with annotation, classification, and data quality. In my role as Head of Customer Operations, I regularly worked with large volumes of customer interaction data (chat, email, and call logs). I analyzed and categorized issues, identified recurring patterns, and ensured accurate documentation across systems. This required strong attention to detail, consistency, and adherence to structured processes, skills directly relevant to data annotation. Additionally, as a Client Expert, I handled high-volume support interactions where I documented, classified, and tracked customer concerns. This involved tagging issues, maintaining clean records, and ensuring clarity and accuracy in written data. To further build hands-on experience in AI-related tasks, I have also practiced: Annotating customer support conversations for sentiment (positive, neutral, negative) and intent classification Reviewing and improving AI-generated responses for clarity, accuracy, and tone using tools like ChatGPT Creating structured datasets from unorganized text for easier analysis and categorization These experiences have strengthened my ability to work with both structured and unstructured data, follow guidelines carefully, and maintain high accuracy across repetitive tasks. I am continuously building my skills in data annotation and AI training workflows.