Data Labelling Specialist & QA Reviewer
As a Data Labelling Specialist & QA Reviewer, produced high-accuracy structured datasets for various AI and ML projects. Applied text classification, NER, and annotation to support NLP, computer vision, and LLM fine-tuning, ensuring over 98% inter-annotator agreement. Contributed to prompt evaluation pipelines and upheld rigorous QA standards for both annotation accuracy and workflow efficiency. • Managed edge-case flagging and labelling guidelines using Label Studio and similar tools. • Reviewed batches from other annotators, delivering feedback that lowered rejection rates. • Maintained detailed logs and generated inter-rater reliability reports for project leaders. • Participated in RLHF projects by rating prompt-response pairs for accuracy and safety.