AI Data Annotation and Evaluation (Self-Directed)
Demonstrated ability to perform data annotation and model evaluation in artificial intelligence and language model contexts. Applied structured thinking and technical comprehension to produce accurate, high-quality labeled data. Delivered concise written feedback to improve model performance and data quality. • Consistently ensured high accuracy and reliability in remote work settings. • Utilized attention to detail to identify labeling inconsistencies. • Capable of technical writing and structured evaluation documentation. • Conducted tasks related to language model evaluation and data annotation.