Data Labeling & Topic Intelligence for Social Media Content
This role involved prioritizing hot topics by grading, sampling, and generating structured content for AI consumption. I conducted topic-page sampling, extracted relevant text and metadata, and exported samples into CSV format for further analysis. The work also included sentiment observation, fact-checking, and risk grading to ensure quality and compliance. • Designed and implemented a workflow to identify and prioritize trending topics involving data sampling and labeling. • Utilized PowerShell and JavaScript tools to automate sample ingestion, data cleaning, and generating structured reports. • Labeled and classified social media text data for topic relevance, sentiment, and risk categories. • Focused on ensuring the quality of labeled data through compliance-controlled copywriting and post-mortem review.