Data Analyst & Quality Control Associate (Data Annotation & AI Training)
Label Studio
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RLHFOversaw structured data annotation, NLP task labeling, and AI model output evaluation for various client projects in both business and research contexts. Maintained high accuracy through classification, NER, sentiment, and intent labeling on unstructured text, ensuring model pipeline quality for NLP and computer vision. Implemented RLHF methodologies by providing consistent human feedback, contributing to iterative model refinement and improved model outputs. • Performed above-98% accurate content annotation and classification across multiple projects. • Collaborated globally on asynchronous annotation platforms to deliver timely, high-quality datasets. • Developed standardized QA checklists and documentation to reduce error rates by 15%. • Managed sensitive data with strict confidentiality and adherence to governance guidelines.