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Abisola Afolayan

Freelance AI Data Annotator and AI Trainer (Appen, Telus AI, Outlier)

United Kingdom flagSt Helens, United Kingdom
$15.00/hrExpertAppen

Key Skills

Software

AppenAppen

Top Subject Matter

Generative AI/LLM
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Freelance AI Data Annotator and AI Trainer (Appen, Telus AI, Outlier). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Master of Arts, University of Derby (2025) and Bachelor of Arts, University of Ilorin (2023). AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertEnglishYoruba

Labeling Experience

Appen

Freelance AI Data Annotator and AI Trainer (Appen, Telus AI, Outlier)

AppenTextClassification
As a freelance AI Data Annotator, I contributed to large-scale generative AI and machine learning projects on leading industry platforms. My responsibilities included annotating and evaluating diverse datasets and performing crucial tasks such as text classification, sentiment analysis, and RLHF. This role demanded exceptional attention to detail and strict adherence to quality standards. • Annotated and classified text data for intent detection, sentiment analysis, and content moderation. • Assessed and ranked LLM-generated outputs using structured reasoning frameworks and RLHF protocols. • Conducted fact-checking and guideline-based research to ensure high annotation quality. • Worked independently across multiple platforms, including Appen, Telus, and Outlier.

As a freelance AI Data Annotator, I contributed to large-scale generative AI and machine learning projects on leading industry platforms. My responsibilities included annotating and evaluating diverse datasets and performing crucial tasks such as text classification, sentiment analysis, and RLHF. This role demanded exceptional attention to detail and strict adherence to quality standards. • Annotated and classified text data for intent detection, sentiment analysis, and content moderation. • Assessed and ranked LLM-generated outputs using structured reasoning frameworks and RLHF protocols. • Conducted fact-checking and guideline-based research to ensure high annotation quality. • Worked independently across multiple platforms, including Appen, Telus, and Outlier.

2024 - Present

Education

U

University of Derby

Master of Arts, Film and Screen Production

Master of Arts
2025 - 2025
U

University of Ilorin

Bachelor of Arts, Performing Arts

Bachelor of Arts
2023 - 2023

Work History

H

Hope Centre

Voluntary Support Worker

St Helens
2025 - Present
C

Cherish UK

Care Worker

Leigh & Golborne
2025 - Present