Data Annotation Specialist (Precision Data Solutions)
Validated and processed large volumes of dataset entries as a code-quality check to support downstream machine learning systems. Maintained high accuracy while collaborating with a team to standardize input practices and reduce inconsistency-driven errors. Used Python-based workflow improvements to enhance throughput and reliability for continuous annotation operations. • Validated and processed ~1,500 entries per day with 98% accuracy. • Reduced annotation error rates by 15% through standardized input practices and debugging data flow inconsistencies. • Optimized processing workflows using Python scripts, improving team throughput by 25%. • Collaborated in a 10-person remote team to enforce quality checks and consistency.