AI Training Data Annotator (AI model training data labeling)
Assisted in AI model training by reviewing, annotating, and labeling 1,000+ code snippets across 5+ programming languages to improve dataset quality. Performed categorization and debugging checks to reduce labeling error rates and support more reliable downstream model training. Contributed to machine learning dataset preparation by validating syntax, logic, and structure for higher consistency across samples. • Reviewed and labeled code snippets for correctness and appropriate categorization • Conducted debugging and optimization-oriented dataset QA • Evaluated language-specific syntax, logic, and structure (e.g., Java, JavaScript) • Supported improvements in accuracy and reduced review time through consistent annotation standards