Chukwuebuka Arum

Key Skills

Software

Labelbox

CVAT

Prodigy

Other

Top Subject Matter

Natural Language Processing

Computer Vision

Speech Recognition

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity Ner Classification

Bounding Box

Transcription

Freelancer Overview

AI Annotation Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Prodigy. Education includes Bachelor of Science, University of Nigeria Enugu Campus (2022) and Master of Science, University of Nigeria Enugu Campus (2024). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Bounding Box, and Transcription.

Labeling Experience

Data Annotation Specialist

OtherImageBounding Box

I annotated images using bounding boxes to support object detection and image classification for AI models. Quality assurance and client feedback were integral to maintaining annotation consistency and reliability. I adapted quickly to client guidelines, ensuring high satisfaction and timely turnover. • Delivered image annotation for computer vision projects. • Worked with labeling tools specified by client platforms. • Assisted with guideline improvement through proactive feedback. • Supported international teams with scalable annotation output.

I annotated images using bounding boxes to support object detection and image classification for AI models. Quality assurance and client feedback were integral to maintaining annotation consistency and reliability. I adapted quickly to client guidelines, ensuring high satisfaction and timely turnover. • Delivered image annotation for computer vision projects. • Worked with labeling tools specified by client platforms. • Assisted with guideline improvement through proactive feedback. • Supported international teams with scalable annotation output.

2023 - Present

Data Annotation Specialist

LabelboxTextEntity Ner Classification

As a freelance Data Annotation Specialist on Upwork, I provided high-quality labeling services for diverse text data in NLP projects. My responsibilities included categorizing and tagging entities in accordance with client specifications to support robust AI model development. I ensured data accuracy and structure through rigorous quality checks and regular client communication. • Delivered annotation for international clients in NLP domains. • Adhered to stringent quality and compliance standards. • Suggested workflow optimizations and implemented client feedback. • Consistently met project delivery timelines.

As a freelance Data Annotation Specialist on Upwork, I provided high-quality labeling services for diverse text data in NLP projects. My responsibilities included categorizing and tagging entities in accordance with client specifications to support robust AI model development. I ensured data accuracy and structure through rigorous quality checks and regular client communication. • Delivered annotation for international clients in NLP domains. • Adhered to stringent quality and compliance standards. • Suggested workflow optimizations and implemented client feedback. • Consistently met project delivery timelines.

2023 - Present

AI Annotation Specialist

ProdigyAudioTranscription

I transcribed and labeled audio data to support automatic speech recognition model training. My transcription work required precision and attention to edge cases, ensuring alignment with project requirements. I regularly reviewed transcriptions to guarantee consistency and accuracy. • Performed large-scale audio transcription using specialized platforms. • Helped establish annotation guidelines for complex audio scenarios. • Maintained over 95% transcription accuracy. • Provided edge case feedback to optimize model training.

I transcribed and labeled audio data to support automatic speech recognition model training. My transcription work required precision and attention to edge cases, ensuring alignment with project requirements. I regularly reviewed transcriptions to guarantee consistency and accuracy. • Performed large-scale audio transcription using specialized platforms. • Helped establish annotation guidelines for complex audio scenarios. • Maintained over 95% transcription accuracy. • Provided edge case feedback to optimize model training.

2024 - 2025

AI Annotation Specialist

CVATImageBounding Box

In this role, I performed image annotation using bounding boxes to support computer vision models. My work focused on accurate localization and categorization of key objects within images for AI training. I maintained high consistency and reduced error rates by closely following annotation protocols. • Used tools like CVAT and Labelbox for efficient bounding box annotation. • Contributed to the improvement of guideline clarity and project workflow. • Achieved high-volume output while ensuring QA standards were met. • Assisted in labeling over 50,000 images.

In this role, I performed image annotation using bounding boxes to support computer vision models. My work focused on accurate localization and categorization of key objects within images for AI training. I maintained high consistency and reduced error rates by closely following annotation protocols. • Used tools like CVAT and Labelbox for efficient bounding box annotation. • Contributed to the improvement of guideline clarity and project workflow. • Achieved high-volume output while ensuring QA standards were met. • Assisted in labeling over 50,000 images.

2024 - 2025

AI Annotation Specialist

LabelboxTextEntity Ner Classification

As an AI Annotation Specialist at Outlier, I annotated diverse datasets supporting AI and machine learning development. My primary tasks involved performing Named Entity Recognition on textual data, ensuring accurate and comprehensive labeling for training natural language processing models. I meticulously followed project guidelines to maintain data quality and contributed to continuous process improvement. • Labeled over 50,000 data points with 95–97% accuracy. • Identified and flagged edge cases to refine annotation guidelines. • Utilized tools like Labelbox, CVAT, and Prodigy for large-scale annotation. • Documented workflows to enhance reproducibility and scalability.

As an AI Annotation Specialist at Outlier, I annotated diverse datasets supporting AI and machine learning development. My primary tasks involved performing Named Entity Recognition on textual data, ensuring accurate and comprehensive labeling for training natural language processing models. I meticulously followed project guidelines to maintain data quality and contributed to continuous process improvement. • Labeled over 50,000 data points with 95–97% accuracy. • Identified and flagged edge cases to refine annotation guidelines. • Utilized tools like Labelbox, CVAT, and Prodigy for large-scale annotation. • Documented workflows to enhance reproducibility and scalability.

2024 - 2025

Education

Work History