AI Data Annotation & Model Evaluation (NLP & Image Tasks)
I worked on multiple AI training and data labeling projects involving both text and image datasets. My responsibilities included annotating data for natural language processing tasks such as sentiment analysis, intent classification, and content moderation, ensuring consistency and adherence to detailed guidelines. I also evaluated AI-generated responses by rating their accuracy, relevance, and coherence, helping improve model performance through structured feedback. In addition, I performed search relevance tasks, ranking results based on user intent and quality. On the computer vision side, I handled image annotation tasks including object classification and basic bounding box labeling. I consistently maintained high accuracy while working with large datasets, met project deadlines, and adapted quickly to new guidelines and quality control processes across different platforms.