AI Data Trainer – Invisible Technology
I annotated and labeled complex datasets to contribute to the enhancement of AI model accuracy and performance. My work involved reviewing and correcting machine learning outputs for improved reliability. I collaborated closely with cross-functional teams to refine data quality standards and ensure high precision. • Labeled large batches of textual datasets using internal or proprietary tooling • Identified inconsistencies in AI-generated responses and corrected errors • Performed quality assurance and provided structured feedback to developers • Documented common error patterns and contributed to process improvements