Daniel Esoimeme

Key Skills

Software

CVAT

Clickworker

iMerit

Mindrift

Top Subject Matter

AI Training

Digital Content

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Text Generation

Text Summarization

Transcription

Data Collection

Freelancer Overview

I am a Data Annotation and Quality Assurance Specialist with over 2 years of experience working across structured data workflows, research-driven tasks, and quality-focused execution. I have hands-on experience with tools like CVAT for video annotation, along with expertise in text-based data labeling, evaluation, and rating tasks for AI training. My work involves reviewing and validating datasets, identifying inconsistencies, and ensuring outputs meet strict guideline requirements, contributing to the development of accurate and reliable AI models. I hold a Bachelor of Engineering from the University of Abuja (2023) and bring strong analytical skills, attention to detail, and excellent written communication. I am highly proficient in handling text data, applying evaluation frameworks, and maintaining high-quality standards while working independently in remote environments. My ability to follow complex instructions and deliver consistent results sets me apart in data labeling and AI training projects.

Labeling Experience

Data Annotation & Quality Assurance Specialist

CVATText

As a Data Annotation & Quality Assurance Specialist, I led a team reviewing and evaluating digital content for AI training projects. I ensured datasets were accurately labeled and complied with established annotation guidelines. My work maintained high data quality standards vital for effective AI model development. • Performed detailed quality checks on text-based datasets for accuracy and consistency. • Analyzed user engagement and campaign data to identify labeling errors and improve dataset reliability. • Collaborated with teams to resolve data discrepancies and document best practices. • Used CVAT and spreadsheet tools for effective annotation workflows and data management.

As a Data Annotation & Quality Assurance Specialist, I led a team reviewing and evaluating digital content for AI training projects. I ensured datasets were accurately labeled and complied with established annotation guidelines. My work maintained high data quality standards vital for effective AI model development. • Performed detailed quality checks on text-based datasets for accuracy and consistency. • Analyzed user engagement and campaign data to identify labeling errors and improve dataset reliability. • Collaborated with teams to resolve data discrepancies and document best practices. • Used CVAT and spreadsheet tools for effective annotation workflows and data management.

2023 - Present

Education

Work History