Text Annotation & NLP Evaluation for AI Training
During my work on the Remotasks platform, I contributed to AI training and data annotation projects involving natural language processing (NLP) tasks. My responsibilities included reviewing and categorizing text-based content, identifying key entities within written material, evaluating AI-generated responses for relevance and accuracy, and ensuring alignment with project-specific guidelines. I performed classification and Named Entity Recognition (NER) tasks by labeling important contextual elements within structured and unstructured text datasets. Additionally, I supported supervised fine-tuning (SFT) workflows by assessing prompt-response pairs, rating model outputs, and assisting in reinforcement learning from human feedback (RLHF) processes to improve large language model (LLM) performance. Quality assurance measures included adherence to detailed annotation instructions, consistency checks across similar data samples, and evaluation of linguistic clarity, contextual accuracy, a