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A
Adedayo A.

Adedayo A.

Prompt Engineer & Data Annotation Specialist (Remote)

Nigeria flagLagos, Nigeria

Key Skills

Software

Micro1
Other
TelusTelus
AppenAppen

Top Subject Matter

Large language model (LLM) prompt engineering and AI output evaluation
LLM and computer vision training data annotation
NLP output review and ethical quality assurance

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Fine-tuningFine-tuning
Data CollectionData Collection

Freelancer Overview

Micro1 AI — Prompt Engineer & Data Annotation Specialist (Remote). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1, Other, and Telus. Education includes Bachelor of Science, Federal University of Agriculture, Abeokuta (2010). AI-training focus includes data types such as Text and Audio and labeling workflows including Prompt + Response Writing (SFT), Fine-tuning, and Evaluation.

Labeling Experience

Micro1 AI — Prompt Engineer & Data Annotation Specialist (Remote)

Micro1TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Developed and optimized 500+ prompts for summarization, classification, and information extraction tasks to improve LLM accuracy. Evaluated 2,000+ AI-generated outputs for tone, relevance, and hallucination, and reduced invalid completions by 30%. Built reusable prompt templates and collaborated with teams to improve annotation workflow efficiency using structured A/B testing and feedback. • Prompt optimization and template creation • Output evaluation for hallucination risk and relevance • Task workflow improvement through A/B testing and feedback • Cross-functional collaboration to increase annotation throughput

2025 - Present

Hugotech.co — AI Operations Associate (Remote)

OtherTextTextFine-tuningFine-tuning

Led the annotation of 50K+ text, image, and audio datasets to support LLM and computer vision training initiatives. Designed 80+ tailored prompts for instruction-following, content moderation, and fine-tuning tasks, then evaluated 5,000+ AI responses for tone, relevance, and accuracy. Implemented rigorous QA review processes to maintain 98% QA accuracy while streamlining annotation workflows to reduce cycle times. • Large-scale multimodal dataset annotation for training • Prompt design for instruction following and moderation • Quality assurance via standardized review checks • Workflow optimization with technical/operations teams

2024 - 2025
Telus

Telus International — Data Annotator & AI Content Reviewer (Remote)

TelusTelusTextText

Reviewed and classified 10K+ NLP outputs across sentiment, categorization, and quality assurance. Identified and flagged biased or hallucinated outputs to support ethical compliance for AI datasets. Provided structured insights that influenced improvements to model scoring and evaluation frameworks. • Sentiment and category classification • Bias and hallucination detection for ethical compliance • Quality assurance of NLP outputs • Feedback to refine model evaluation and scoring

2023 - 2024

Ready4Opportunities Consultancy Services — Data Entry Specialist

TextTextData CollectionData Collection

Processed, cleaned, and verified diverse datasets for data-driven projects to improve data reliability. Structured and formatted raw datasets to support model training and optimal downstream processing. Introduced quality control measures to increase dataset accuracy for subsequent use. • Dataset cleaning and verification • Data structuring and formatting for model training • Quality control to improve reliability • Preparing datasets for optimal processing

2023 - 2023
Appen

Appen / Crowdgen — AI Data Contributor (Remote)

AppenAppenAudioAudioData CollectionData Collection

Annotated and validated large-scale text, image, and audio datasets for NLP and computer vision training. Participated in prompt refinement for LLM training and achieved a 17% reduction in annotation errors. Applied strict linguistic and ethical standards to ensure data quality and compliance across labeling tasks. • Multimodal dataset annotation and validation • Prompt refinement support for LLM training • Error reduction through improved labeling quality • Ethical and linguistic standards for compliant datasets

2022 - 2023

Education

F

Federal University of Agriculture, Abeokuta

Bachelor of Science, Agricultural Extension and Rural Development

Bachelor of Science
2006 - 2010

Work History

R

Ready4Opportunities Consultancy Services

Data Entry Specialist

Lagos
2023 - 2023
M

Merchant Navy Comprehensive High School

Principal and Teacher

Oyo
2014 - 2020