Alexander D.

Key Skills

Software

Argilla

CVAT

Labelbox

Scale AI

Other

Appen

Remotasks

Top Subject Matter

AI/ML training data for e-commerce

Healthcare Data & Medical Documentation

and industrial inspection (defect detection, manufacturing imagery)

Top Data Types

Document

Text

Image

Video

Audio

Top Task Types

Bounding Box

Classification

Entity (NER) Classification

Freelancer Overview

Data Labeling & QA Specialist at G-Quant Nigeria (data annotation and quality assurance). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Scale AI. Education includes Bachelor of Engineering, Bells University of Technology (2026). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Data Labeling & QA Specialist at G-Quant Nigeria (data annotation and quality assurance)

CVATTextClassification

Labeled and annotated text, image, and video datasets to support AI/ML training pipelines across multiple domains. Performed batch quality control reviews and corrected auto-generated annotations to improve dataset reliability. Escalated ambiguous cases to project leads while following detailed style guides and annotation instructions.• Labeled text for classification and tagging according to guidelines• Applied bounding boxes and segmentation masks for defect detection imagery• Reviewed and corrected edge cases in auto-annotations• Flagged and redacted PII in text and document datasets

2025 - Present

Content Reviewer & Data Annotator at InfoLink Solutions (data annotation and QA)

AppenTextEntity (NER) Classification

Annotated natural language datasets for sentiment, intent, and topic classification to support NLP model training. Conducted named entity recognition tagging across multilingual text datasets in English and Yoruba. Reviewed crowdsourced submissions for quality and guideline compliance before dataset integration.• Tagged sentiment, intent, and topics for text classification tasks• Performed NER span tagging across multilingual (English/Yoruba) datasets• Reviewed crowdsourced annotations for consistency and compliance• Completed labeling tasks across text, audio transcription, and image classification using labeling platforms

2023 - 2024

Education

Work History