Text annotation and quality review of data
This is a project based text annotation assignment supporting AI language model training. The scope involves reviewing short text passages, identifying named entities like locations and categorizing content according to predefined classification guidelines. The dataset consists of structured text samples provided through a web-based annotation tool. I label and review many text entries in batches, ensuring each annotation follows the provided schema and definitions. I carefully apply entity tags, verify contextual accuracy, and flag ambiguous cases for clarification when necessary. Quality control measures include self-review before submission, adherence to detailed annotation guidelines, consistency checks across similar entries, and maintaining high agreement with guideline standards. Accuracy and consistency are prioritized over speed to ensure reliable training data.