Chuks B.

Key Skills

Software

Other

Top Subject Matter

AI dataset quality (text annotation, NER, classification)

AI dataset quality across image and text annotation tasks

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Segmentation

Freelancer Overview

Quality Assurance & Data Annotation Specialist (Freelance, Remote). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Cross River University of Technology (2023) and Certified Electrical Engineer, National Council of Examiners for Engineering and Surveying (NCEES) (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) and Segmentation.

Labeling Experience

AI Data Annotation Project Participant

OtherImageSegmentation

Active participant in AI data annotation projects centered on improving dataset quality. Worked across multiple annotation task types including image labeling and text classification. Followed annotation guidelines and QA frameworks while documenting issues to enhance training outcomes. • Completed high-volume labeling tasks with 95%+ accuracy • Maintained accuracy standards per detailed annotation guidelines • Identified and documented data inconsistencies for training improvement • Used quality assurance frameworks with feedback integration

2023 - 2023

Quality Assurance & Data Annotation Specialist (Freelance, Remote)

OtherText

Served as a Data Annotation & QA specialist performing text-focused classification and entity recognition work on diverse datasets. Ensured annotations followed detailed guidelines and maintained consistency across samples. Supported dataset quality by documenting decisions and resolving edge-case labeling ambiguity. • Performed data classification and entity recognition tasks • Maintained meticulous records of annotation decisions with reasoning • Collaborated with project leads to resolve ambiguities and edge cases • Delivered 97% consistency across 500+ labeled samples

2023 - 2023

Education

Work History