Freelance Data Annotator - Sentiment and Content Moderation
I managed text content moderation and sentiment annotation for social media data sets. My primary focus was to assess, label, and categorize user-generated content, identifying subtle or policy-violating language. I used annotation tools to maintain high sensitivity toward nuanced expressions and financial jargon. • Labeled sentiment for FX and crypto social media discussions using a 5-level scale • Filtered sensitive content and policy violations for platform compliance • Employed expertise in financial indicators for accurate annotation • Tools utilized included Label Studio and Supervisely