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Ignatius Chukwuebuka

Ignatius Chukwuebuka

AI Data Annotator - Machine Learning & AI Systems

NIGERIA flag
Abuja, Nigeria
$15.00/hrExpertAppenInternal Proprietary ToolingLionbridge

Key Skills

Software

AppenAppen
Internal/Proprietary Tooling
LionbridgeLionbridge

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor
AudioAudio
Computer Code ProgrammingComputer Code Programming
DocumentDocument
Geospatial Tiled ImageryGeospatial Tiled Imagery
ImageImage
TextText
VideoVideo

Top Label Types

Point Key Point
Entity Ner Classification
Segmentation

Freelancer Overview

I am computer Science graduate with hands-on experience in AI data annotation, machine learning dataset evaluation, and quality assurance for AI systems. Proven ability to assess data accuracy, enforce annotation standards, identify inconsistencies, and deliver high-quality labeled outputs against strict quality thresholds. Comfortable working independently in remote, asynchronous, project-based environments.

ExpertEnglish

Labeling Experience

Appen

AI Data Annotation & Model Evaluation

AppenTextPoint Key PointEntity Ner Classification
Reviewed and annotated large datasets used for training and evaluating machine learning and AI systems. Assessed model outputs for accuracy, consistency, tone, and logical alignment with detailed annotation guidelines. Identified ambiguous and edge-case samples, escalating inconsistencies in task instructions to maintain data quality. Applied structured judgment to label complex and nuanced content, consistently meeting strict quality thresholds. Delivered all work independently in an asynchronous, remote, project-based environment with minimal supervision

Reviewed and annotated large datasets used for training and evaluating machine learning and AI systems. Assessed model outputs for accuracy, consistency, tone, and logical alignment with detailed annotation guidelines. Identified ambiguous and edge-case samples, escalating inconsistencies in task instructions to maintain data quality. Applied structured judgment to label complex and nuanced content, consistently meeting strict quality thresholds. Delivered all work independently in an asynchronous, remote, project-based environment with minimal supervision

2024 - 2025

AI Workflow Automation & Data Quality- Datapro

Internal Proprietary ToolingTextEntity Ner ClassificationSegmentation
Built and optimized AI-powered automation workflows, integrating AI tools and APIs into live business operations. Applied prompt engineering techniques to evaluate and improve AI output accuracy and performance. Managed automated data handling pipelines, ensuring data consistency, quality, and integrity throughout. Responsibilities involved ongoing evaluation of AI-generated outputs against expected performance benchmarks.

Built and optimized AI-powered automation workflows, integrating AI tools and APIs into live business operations. Applied prompt engineering techniques to evaluate and improve AI output accuracy and performance. Managed automated data handling pipelines, ensuring data consistency, quality, and integrity throughout. Responsibilities involved ongoing evaluation of AI-generated outputs against expected performance benchmarks.

2023 - 2024
Lionbridge

Video annotation & Quality Standards

LionbridgeVideoBounding BoxEntity Ner Classification
Performed video classification and tagging tasks as part of a long-term AI training data project through Lionbridge. Reviewed and labeled video content according to detailed annotation guidelines, categorizing footage by content type, activity, scene, and relevant attributes. Maintained consistent labeling quality across high volumes of video samples, ensuring outputs met the accuracy and consistency standards required for training computer vision and AI systems. Worked independently in a remote, flexible, asynchronous environment throughout the project duration.

Performed video classification and tagging tasks as part of a long-term AI training data project through Lionbridge. Reviewed and labeled video content according to detailed annotation guidelines, categorizing footage by content type, activity, scene, and relevant attributes. Maintained consistent labeling quality across high volumes of video samples, ensuring outputs met the accuracy and consistency standards required for training computer vision and AI systems. Worked independently in a remote, flexible, asynchronous environment throughout the project duration.

2023 - 2023

Education

A

Ahmadu Bello University

Bachelor of Science, Computer Science

Bachelor of Science
2019 - 2023

Work History

A

Appen

AI Data Annotation & Model Evaluation

ABUJA
2024 - 2025
D

Datapro

AI Automation Expert

Abuja
2023 - 2024