Potentially Problematic Content
As a Data Annotation Specialist, I annotated and reviewed large volumes of text and social media content for machine learning model training and evaluation. I flagged content for potential policy violations, harmful or misleading elements, and contextual risks based on established guidelines. Consistency in categorization was ensured across sentiment, intent, toxicity, and risk assessments. • Conducted secondary reviews to bolster annotation accuracy and consistency. • Escalated ambiguous or borderline cases to quality reviewers for further analysis. • Maintained strict compliance with confidentiality and data protection requirements. • Met throughput and quality benchmarks in a remote, contract-based capacity.