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E

Egbeola Lekan

AI Prompt Engineer & Data Annotator (Freelance), GIDEONTECH.CO

Nigeria flaglagos, Nigeria
$20.00/hrExpertOtherTelusAppen

Key Skills

Software

Other
TelusTelus
AppenAppen

Top Subject Matter

Natural Language Processing
Natural Language Processing and Computer Vision
Legal Services & Contract Review

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification

Freelancer Overview

AI Prompt Engineer & Data Annotator (Freelance), GIDEONTECH.CO. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, Telus, and Appen. Education includes Bachelor of Arts, University of Lagos (2019). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

ExpertEnglish

Labeling Experience

AI Prompt Engineer & Data Annotator (Freelance), GIDEONTECH.CO

OtherTextPrompt Response Writing SFT
Developed and optimized NLP prompts for tasks such as summarization, classification, and data extraction. Designed reusable prompt templates to enhance workflow efficiency for LLM-related projects. Conducted quality analysis and fact-checking of AI-generated outputs for improved model accuracy. • Improved LLM accuracy by 15% through 500+ optimized prompts • Reduced prompt creation time by 35% via template library • Led fact-checking to identify errors, biases, and hallucinations • Utilized platforms including ChatGPT, Claude, Jasper, and Google Bard

Developed and optimized NLP prompts for tasks such as summarization, classification, and data extraction. Designed reusable prompt templates to enhance workflow efficiency for LLM-related projects. Conducted quality analysis and fact-checking of AI-generated outputs for improved model accuracy. • Improved LLM accuracy by 15% through 500+ optimized prompts • Reduced prompt creation time by 35% via template library • Led fact-checking to identify errors, biases, and hallucinations • Utilized platforms including ChatGPT, Claude, Jasper, and Google Bard

2025 - 2026
Telus

Data Annotator & AI Content Reviewer, TELUS International

TelusText
Reviewed and tagged NLP outputs for classification and sentiment analysis within quality assurance workflows. Identified and flagged biased or hallucinated outputs to enhance dataset quality and compliance. Provided structured feedback for refining model evaluation protocols. • Reviewed over 10,000 NLP outputs • Flagged 1,200+ biased or hallucinated results • Delivered direct feedback impacting model scoring • Employed Telus annotation platform and internal tools

Reviewed and tagged NLP outputs for classification and sentiment analysis within quality assurance workflows. Identified and flagged biased or hallucinated outputs to enhance dataset quality and compliance. Provided structured feedback for refining model evaluation protocols. • Reviewed over 10,000 NLP outputs • Flagged 1,200+ biased or hallucinated results • Delivered direct feedback impacting model scoring • Employed Telus annotation platform and internal tools

2024 - 2025
Appen

AI Data Contributor, Appen / Crowdgen

AppenTextClassification
Labeled and verified diverse text, audio, and image samples for NLP and computer vision projects. Participated in prompt tuning for LLM training to improve annotation accuracy. Consistently met quality and throughput benchmarks in a dynamic project environment. • Labeled over 20,000 data samples including text, audio, and images • Reduced annotation errors by 17% through prompt tuning exercises • Achieved and exceeded project quality targets • Used Appen and Crowdgen platforms for annotation and review

Labeled and verified diverse text, audio, and image samples for NLP and computer vision projects. Participated in prompt tuning for LLM training to improve annotation accuracy. Consistently met quality and throughput benchmarks in a dynamic project environment. • Labeled over 20,000 data samples including text, audio, and images • Reduced annotation errors by 17% through prompt tuning exercises • Achieved and exceeded project quality targets • Used Appen and Crowdgen platforms for annotation and review

2022 - 2023

Education

U

University of Lagos

Bachelor of Arts, English Language

Bachelor of Arts
2019 - 2019

Work History

L

Lagos, Nigeria

Appen (Remote Contract)

Location not specified
2022 - Present
R

Remote

TELUS International

Location not specified
2024 - 2025