Travis

AI Data Labeling Specialist & NLP Data Engineer

DATA • Freelance

Jul 2024 - Present • 1 yr 10 mos

As an independent AI data labeling specialist, I help startups, e-commerce businesses, and AI development teams turn raw text into high-quality labeled datasets ready for machine learning model training. Core Responsibilities: • Design and execute custom labeling schemes for text classification, sentiment analysis, named entity recognition (NER), and intent detection • Built an automated multi-agent AI pipeline that classifies data with 90%+ accuracy while reducing turnaround time by 10x compared to manual labeling • Implement a 4-stage quality assurance system: automated classification → consistency review → auto-correction → statistical audit • Process datasets ranging from small pilot batches (100 rows) to large-scale production datasets (100,000+ rows) • Deliver detailed quality audit reports with accuracy metrics, confidence scores, and label distribution analysis for every project Key Achievements: • Maintained 95%+ client satisfaction rate across 50+ completed projects • Reduced client data preparation costs by 70% through AI-augmented labeling workflows • Served clients in multiple industries including e-commerce product reviews, SaaS feedback analysis, social media sentiment tracking, and customer support ticket categorization • Developed expertise in handling multilingual datasets with special focus on English and Chinese text Technical Skills: • Proficient in Python, JSON data processing, and CSV manipulation • Experience with transformer-based NLP models and prompt engineering for classification tasks • Custom pipeline development for domain-specific labeling requirements