Abdulafeez Oyewola

Key Skills

Software

Label Studio

Other

CVAT

Top Subject Matter

NLP and Computer Vision

Internal Analytics Projects

NLP Model Training

Top Data Types

Text

Image

Document

Top Task Types

Classification

Entity (NER) Classification

Bounding Box

Prompt + Response Writing (SFT)

Freelancer Overview

AI Annotator & Content Writer. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Other, and CVAT. Education includes Bachelor of Science, Federal University Birnin Kebbi (2024) and National Diploma, The Polytechnic, Ibadan (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Entity (NER) Classification, and Bounding Box.

Labeling Experience

Multilingual Text Annotation for NLP Model Training (Project)

Label StudioTextEntity Ner Classification

On a self-directed NLP annotation project, I labeled 15,000+ multilingual text samples for sentiment polarity, intent detection, and entity tagging. I applied unified labeling schemas to ensure cross-language consistency. My work improved model performance and supported annotator onboarding with detailed documentation. • Used Label Studio and custom annotation tools for labeling. • Covered English and Yoruba datasets for model training. • Enhanced model F1 scores by ~12%. • Maintained an annotation log for ambiguous labels and edge cases.

On a self-directed NLP annotation project, I labeled 15,000+ multilingual text samples for sentiment polarity, intent detection, and entity tagging. I applied unified labeling schemas to ensure cross-language consistency. My work improved model performance and supported annotator onboarding with detailed documentation. • Used Label Studio and custom annotation tools for labeling. • Covered English and Yoruba datasets for model training. • Enhanced model F1 scores by ~12%. • Maintained an annotation log for ambiguous labels and edge cases.

2024 - Present

AI Annotator & Content Writer

Label StudioTextClassification

As an AI Annotator & Content Writer at Hugo Technologies, I annotated diverse datasets including text, audio, and images for NLP and computer vision ML models. I developed and applied detailed annotation guidelines and conducted quality audits to ensure high accuracy. I also created AI-ready content and collaborated with remote teams to meet project goals. • Maintained annotation accuracy rates above 98%. • Applied guidelines for sentiment analysis, named entity recognition, intent classification, and object detection. • Conducted inter-annotator agreement reviews and flagged ambiguities. • Used Asana and Slack for team coordination across time zones.

As an AI Annotator & Content Writer at Hugo Technologies, I annotated diverse datasets including text, audio, and images for NLP and computer vision ML models. I developed and applied detailed annotation guidelines and conducted quality audits to ensure high accuracy. I also created AI-ready content and collaborated with remote teams to meet project goals. • Maintained annotation accuracy rates above 98%. • Applied guidelines for sentiment analysis, named entity recognition, intent classification, and object detection. • Conducted inter-annotator agreement reviews and flagged ambiguities. • Used Asana and Slack for team coordination across time zones.

2024 - Present

AI Content Writing & Prompt Engineering Dataset (Project)

OtherTextPrompt Response Writing SFT

As part of a dataset creation initiative for LLM fine-tuning at Hugo Technologies, I authored 200+ high-quality prompt-response pairs. These pairs were designed for customer-support and information-retrieval training tasks. I ensured the responses were coherent, factual, and ready for model training using structured frameworks. • Applied STAR and inverted pyramid content frameworks. • Focused on SFT and AI content readiness for client models. • Authored dataset content aimed at LLM fine-tuning efforts. • Supported information-retrieval use cases for conversational AI.

As part of a dataset creation initiative for LLM fine-tuning at Hugo Technologies, I authored 200+ high-quality prompt-response pairs. These pairs were designed for customer-support and information-retrieval training tasks. I ensured the responses were coherent, factual, and ready for model training using structured frameworks. • Applied STAR and inverted pyramid content frameworks. • Focused on SFT and AI content readiness for client models. • Authored dataset content aimed at LLM fine-tuning efforts. • Supported information-retrieval use cases for conversational AI.

2024 - 2024

Image Labeling for Object Detection (Freelance Project)

CVATImageBounding Box

For a remote/freelance computer vision project, I labeled over 8,000 images for bounding box, polygon segmentation, and keypoint annotation. The work targeted retail and logistics use cases with a focus on annotation accuracy and workflow consistency. I managed peer QA reviews to ensure class-label consistency and reduced error rates. • Used CVAT and Roboflow for managing annotation workflows. • Collaborated on a distributed team of 12 annotators. • Reduced label error rate by 15% through QA reviews. • Delivered datasets ready for ML model training by client engineers.

For a remote/freelance computer vision project, I labeled over 8,000 images for bounding box, polygon segmentation, and keypoint annotation. The work targeted retail and logistics use cases with a focus on annotation accuracy and workflow consistency. I managed peer QA reviews to ensure class-label consistency and reduced error rates. • Used CVAT and Roboflow for managing annotation workflows. • Collaborated on a distributed team of 12 annotators. • Reduced label error rate by 15% through QA reviews. • Delivered datasets ready for ML model training by client engineers.

2023 - 2024

Data Analyst (Intern) – Data Labeling Support

OtherTextClassification

At Ibadan Digital Academy, I supported the labeling and categorization of structured and unstructured data assets for internal analytics projects. My work involved cleaning, transforming, and validating various datasets. I assisted in designing data collection templates and survey instruments for assessments. • Helped develop key HR metrics from cleaned datasets. • Ensured data accuracy and compliance via Power BI and Excel. • Supported work on workforce planning and analytics projects. • Contributed to template and instrument validation for academic programs.

At Ibadan Digital Academy, I supported the labeling and categorization of structured and unstructured data assets for internal analytics projects. My work involved cleaning, transforming, and validating various datasets. I assisted in designing data collection templates and survey instruments for assessments. • Helped develop key HR metrics from cleaned datasets. • Ensured data accuracy and compliance via Power BI and Excel. • Supported work on workforce planning and analytics projects. • Contributed to template and instrument validation for academic programs.

2023 - 2023

Education

Work History