Data Labeling Specialist / Content Workflow Builder
I have hands-on experience evaluating, organizing, and labeling digital content for AI-assisted workflows, content review, and automation projects. My work includes classifying text, images, screenshots, technical issues, user prompts, and content ideas into clear categories so they can be reviewed, reused, or processed by AI systems. I have built and tested structured workflows for content filtering, approval/denial review, spreadsheet-based labeling, and quality control. This includes reviewing generated AI responses for accuracy, clarity, tone, usefulness, and whether the output follows instructions. I also have experience identifying errors, flagging weak responses, improving prompts, documenting issues, and refining classification rules. Examples of relevant work include labeling content for comedy/script generation workflows, reviewing AI-generated text before approval, organizing story/source data in spreadsheets, checking image-based and screenshot-based information, and creating repeatable processes for cleaner data handling. I am comfortable working with detailed guidelines, spotting inconsistencies, and maintaining accuracy across repetitive review tasks.