AI Training and Data Labeling
I have worked on a range of data labeling and AI training projects across platforms like Outlier AI, Remotasks, and Appen. On Outlier, I contributed to tasks such as the Whitebeard Ratable Task, where I evaluated AI-generated responses for accuracy, relevance, and clarity, assigned ratings, and provided detailed justifications. I also handled response ranking and quality evaluation tasks, comparing multiple outputs and identifying errors or inconsistencies to improve overall model performance. Beyond text evaluation, I have experience in image annotation and text categorization projects on platforms like Remotasks and Appen. These included labeling objects in images, tagging datasets, categorizing text based on themes or intent, and performing data validation to ensure quality and consistency. I have also participated in content moderation and dataset cleanup tasks, where attention to detail and strict adherence to guidelines were critical. My ability to quickly understand project requirements, maintain accuracy at scale, and deliver consistent results across different task types makes me well-suited for diverse AI training data projects.