Oladeji D.

Key Skills

Software

Appen

CrowdSource

Data Annotation Tech

OneForma

Telus

Top Subject Matter

Artificial Intelligence / Machine Learning – Data Annotation, AI Training Data, Natural Language Processing (NLP), Content Evaluation, Quality Assurance

Artificial Intelligence / Generative AI – Text Annotation, Prompt Evaluation, Response Ranking, Content Moderation, Language Quality Assessment, AI Model Evaluation

Top Data Types

Image

Video

Text

Top Task Types

Evaluation/Rating

Prompt + Response Writing (SFT)

Transcription

Freelancer Overview

With over 8 years of professional experience in quality-focused, detail-intensive roles, I bring a strong foundation in structured analysis, research accuracy, and process-driven execution that translates well into data annotation and AI training workflows. My experience has involved working within complex professional environments where precision, consistency, and adherence to guidelines were critical, core competencies essential for high-quality data labeling. I am highly skilled at reviewing information systematically, identifying patterns, maintaining annotation accuracy, and delivering reliable outputs under established quality standards. In addition to my professional experience, I hold a Master of Science from Nottingham Trent University (2023) and a Bachelor’s degree in Estate Management and Valuation (2014), which have strengthened my analytical thinking, research capabilities, and attention to detail. What sets me apart is my ability to combine academic rigor with practical execution, quickly adapt to new tools and workflows, and contribute effectively to AI training projects that require accuracy, judgment, and consistency at scale.

Labeling Experience

Social Media Evaluation

ImageEvaluation/Rating

Perform high-accuracy data labeling, model evaluation, and content rating for AI systems. Apply detailed project guidelines to ensure precise text, image, and search relevance annotations. Maintain accuracy above 95% through careful quality checks and inter-annotator consistency. Conduct bias and fairness assessments to promote ethical and inclusive model training. Collaborate with global QA teams to improve labeling standards and task interpretation. Contribute feedback on model performance and human-AI alignment tasks to refine learning loops.

2022 - 2025

Education

Work History