Freelance AI Data Labeling and Validation (as part of Python Developer & Web Scraping Specialist role)
Developed LLM-assisted pipelines to clean, classify, and validate large-scale datasets used for AI/ML training. Designed post-processing logic for prompt engineering tasks aimed at improving model input quality. Performed manual reviews on automatically labeled data to ensure adherence to training requirements. • Used OpenRouter API and ChatGPT for enhancing labeled data accuracy. • Optimized annotation pipelines for efficiency and quality. • Delivered validated datasets in various formats after multi-stage processing. • Provided quality reports alongside labeled data for client verification.