AI Data Annotator & Analyst, Transperfect Translations
Text
Fine-tuningPerformed linguistic quality control and validation on 100,000+ data points across text, audio and conversational datasets to support training and fine-tuning of LLMs and voice-based AI systems. Maintained annotation accuracy rates above 98% to ensure high-quality datasets that directly impact model performance and user experience. Recorded and documented annotation processes and created refined guidelines to improve data management and onboarding for new annotators. • Validated linguistic labels across multi-modal conversational content. • Improved dataset consistency using iterative guidelines and process documentation. • Ensured regulatory and client expectation alignment through collaborative review. • Coordinated outputs with engineers and project managers for evolving model objectives.