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Adeshina Ilori

Adeshina Ilori

Data Annotator

Nigeria flagN/A, Nigeria
$10.00/hrIntermediateAppenClickworkerMercor

Key Skills

Software

AppenAppen
ClickworkerClickworker
MercorMercor
Micro1
TelusTelus
CVATCVAT
Data Annotation TechData Annotation Tech
CrowdSourceCrowdSource
DataloopDataloop

Top Subject Matter

General AI/ML Data Annotation

Top Data Types

TextText
ImageImage
AudioAudio
VideoVideo

Top Task Types

ClassificationClassification
SegmentationSegmentation
Object DetectionObject Detection
Text GenerationText Generation
TranscriptionTranscription

Freelancer Overview

Data Annotator. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Bachelor of Accounting, Federal University Oye-Ekiti (2025). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification.

IntermediateEnglishYoruba

Labeling Experience

Appen

Data Annotator

AppenTextClassification
As a Data Annotator at Appen AI, I labeled large volumes of text, image, audio, and video data to support machine learning and model training. I followed strict guidelines and quality standards to ensure high accuracy and consistency in all annotations. I reviewed and validated annotated data to maintain quality control and improve dataset reliability. • Labeled data across multiple modalities (text, image, audio, video) as instructed for AI development. • Ensured ambiguity was flagged and escalated for resolution, contributing to precise labeling. • Supported high dataset reliability through careful validation and review processes. • Utilized remote work protocols to meet project deadlines and maintain performance standards.

As a Data Annotator at Appen AI, I labeled large volumes of text, image, audio, and video data to support machine learning and model training. I followed strict guidelines and quality standards to ensure high accuracy and consistency in all annotations. I reviewed and validated annotated data to maintain quality control and improve dataset reliability. • Labeled data across multiple modalities (text, image, audio, video) as instructed for AI development. • Ensured ambiguity was flagged and escalated for resolution, contributing to precise labeling. • Supported high dataset reliability through careful validation and review processes. • Utilized remote work protocols to meet project deadlines and maintain performance standards.

2023 - 2024

Education

F

Federal University Oye-Ekiti

Bachelor of Accounting, Accounting

Bachelor of Accounting
2021 - 2025

Work History

T

Tester.com

Web and App Tester

N/A
2025 - Present
M

Meristem

Data Analyst

Lagos
2021 - 2023