AI Training & Data Annotation – Outlier.ai
I worked on AI training and data annotation tasks for LLM evaluation on the Outlier.ai platform. My responsibilities included: - Entity Recognition (NER): Annotating and classifying named entities in text. - Text Generation & Evaluation: Reviewing AI-generated responses for accuracy, coherence, and relevance. - Prompt + Response Writing (SFT): Crafting structured prompts and refining model responses. - Question Answering: Assessing AI-generated answers for factual correctness. - Ensuring Data Quality: Following annotation guidelines and best practices to maintain high-quality training data. This project allowed me to apply my expertise in programming, text processing, and AI model evaluation while improving the performance of LLMs.