AI Data Specialist
At Outlier, I contribute to the Aether project, which focuses on improving the performance and reliability of advanced AI systems. My work involves data labeling, prompt evaluation, and response assessment to help train and refine large language models. I review AI-generated outputs for accuracy, coherence, safety, and alignment with guidelines, ensuring high-quality data standards are maintained. By following detailed quality assurance protocols and feedback frameworks, I help enhance model performance and support the development of more accurate and responsible AI systems.