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Richard Eze

Richard Eze

Data Annotation and Labeling (Self-Directed/Project-Based)

Nigeria flagN/A, Nigeria
$20.00/hrEntry LevelProdigyScale AISuperannotate

Key Skills

Software

ProdigyProdigy
Scale AIScale AI
SuperAnnotateSuperAnnotate
RoboflowRoboflow
Label StudioLabel Studio
LabelboxLabelbox
CVATCVAT

Top Subject Matter

General/multiple Domain Expertise

Top Data Types

TextText
VideoVideo
ImageImage

Top Task Types

ClassificationClassification
SegmentationSegmentation
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating
Fine-tuningFine-tuning
Object DetectionObject Detection
Data CollectionData Collection
Bounding BoxBounding Box

Freelancer Overview

I have hands-on experience supporting AI training workflows through accurate data labeling, annotation, and quality control. I am skilled in text classification, sentiment analysis, and content tagging, with a strong ability to follow detailed guidelines and maintain consistency across datasets. My background in Theatre Arts and Film enhances my understanding of context, tone, and human expression, which is valuable in nuanced annotation tasks. I stand out for my attention to detail, fast turnaround, and adaptability across text, image, and video data. My experience in creative direction and videography strengthens my visual analysis and attention to detail, enabling me to identify subtle patterns and ensure high-quality labeled data for AI systems.

Entry LevelEnglish

Labeling Experience

Data Annotation and Labeling (Self-Directed/Project-Based)

TextClassification
Demonstrated strong ability to follow complex instructions and labeling guidelines for data annotation tasks. Reviewed and categorized structured and unstructured text and visual data with high attention to detail. Maintained consistency and accuracy across repetitive labeling assignments while working independently. • Applied pattern recognition to identify trends in data • Adhered to detailed guidelines for consistent output • Ensured quality control and review of labeled data • Organized information for efficient data workflows

Demonstrated strong ability to follow complex instructions and labeling guidelines for data annotation tasks. Reviewed and categorized structured and unstructured text and visual data with high attention to detail. Maintained consistency and accuracy across repetitive labeling assignments while working independently. • Applied pattern recognition to identify trends in data • Adhered to detailed guidelines for consistent output • Ensured quality control and review of labeled data • Organized information for efficient data workflows

Not specified

Education

N

Nnamdi Azikiwe University

Bachelor of Arts, Theatre Arts and Film

Bachelor of Arts
Not specified

Work History

R

Richardking Sartorials

Creative Director & Designer

N/A
2020 - Present
S

Self-Employed

Content Videographer (Freelance)

N/A
2018 - Present