AI Data Labeling Specialist – Outlier AI (Aether Project)
As an AI Data Labeling Specialist for Outlier AI's Aether Project, I contributed to training and evaluating Large Language Models by labeling and validating text-based AI outputs. My work focused on annotating responses, ranking outputs, and performing quality assurance for technical datasets, including programming and conversational AI tasks. This role required strict adherence to detailed guidelines and consistent productivity with large-scale datasets. • Performed text annotation and categorization for NLP and LLM training tasks. • Validated and ranked AI-generated responses to prompts for quality and accuracy. • Conducted prompt-response analysis to improve model reliability and consistency. • Maintained annotation consistency and productivity in a remote, guideline-driven workflow.