Mike Nguvasu

Key Skills

Software

Toloka

Top Subject Matter

Industrial and technical image data for AI/ML systems

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Freelancer Overview

I have practical experience in data labeling and AI training support, with a focus on image annotation and quality assurance. In my current role, I review and correct auto-annotated images, identify missing or inaccurate labels, and ensure all data meets strict guidelines. This has strengthened my attention to detail, consistency, and ability to handle large-scale datasets. I stand out for my methodical approach to quality control, strong analytical skills, and reliability in remote work environments. With a background in Information Technology, I understand the importance of accurate data in AI systems and consistently deliver high-quality, precise results.

Labeling Experience

Data Review & Annotation Assistant

TolokaImageBounding Box

Reviewed and validated both auto-annotated and manually labeled image and multi-format datasets with a focus on data quality for AI training. Conducted error correction and detailed guideline adherence to ensure consistency and reliability across large-scale labeling tasks. Performed structured quality checks in technical and industrial datasets, escalating any annotation ambiguities or inaccuracies. • Ensured all annotations met rigorous accuracy and standardization criteria • Identified and flagged inconsistencies or errors for correction • Specialized in industrial and operational visual data • Maintained productivity and delivered high-precision outputs

Reviewed and validated both auto-annotated and manually labeled image and multi-format datasets with a focus on data quality for AI training. Conducted error correction and detailed guideline adherence to ensure consistency and reliability across large-scale labeling tasks. Performed structured quality checks in technical and industrial datasets, escalating any annotation ambiguities or inaccuracies. • Ensured all annotations met rigorous accuracy and standardization criteria • Identified and flagged inconsistencies or errors for correction • Specialized in industrial and operational visual data • Maintained productivity and delivered high-precision outputs

2024 - Present

Education

Work History