Olabode Ajayi

Key Skills

Software

Remotasks

Toloka

Appen

Top Subject Matter

General AI model development

AI-generated text evaluation

Machine learning data preparation

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Freelance AI Data Annotator & Evaluator. Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Toloka, and Appen. Education includes Bachelor of Science, Olabisi Onabanjo University (2006). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotation & AI Training Certification – Platform-Based (Remotasks / Toloka / Appen)

RemotasksTextClassification

I completed practical, platform-based certification in data annotation, labeling, and AI training. The certification process demanded strict compliance with annotation protocols and quality criteria. My certified skills were directly applicable to real-world machine learning projects. • Gained experience in applying complex labeling guidelines. • Validated annotation skills through projects and assessments. • Focused on dataset integrity and accuracy during certification. • Leveraged certification for professional data labeling roles.

I completed practical, platform-based certification in data annotation, labeling, and AI training. The certification process demanded strict compliance with annotation protocols and quality criteria. My certified skills were directly applicable to real-world machine learning projects. • Gained experience in applying complex labeling guidelines. • Validated annotation skills through projects and assessments. • Focused on dataset integrity and accuracy during certification. • Leveraged certification for professional data labeling roles.

2025 - Present

Data Annotation & Content Labeling Project

AppenTextClassification

In the Data Annotation & Content Labeling Project, I annotated datasets across text, audio, and image formats to support machine learning initiatives. My work involved classification based on intent, sentiment, and context, carefully adhering to provided guidelines. Consistency and data quality were prioritized throughout high-volume tasks. • Labeled content using clear classification schemes. • Maintained strict adherence to annotation protocol and guidelines. • Delivered high-quality output within deadlines. • Supported improved model comprehension via precise content categorization.

In the Data Annotation & Content Labeling Project, I annotated datasets across text, audio, and image formats to support machine learning initiatives. My work involved classification based on intent, sentiment, and context, carefully adhering to provided guidelines. Consistency and data quality were prioritized throughout high-volume tasks. • Labeled content using clear classification schemes. • Maintained strict adherence to annotation protocol and guidelines. • Delivered high-quality output within deadlines. • Supported improved model comprehension via precise content categorization.

2025 - Present

AI Response Evaluation & Ranking Project

TolokaText

Through the AI Response Evaluation & Ranking Project, I systematically compared AI-generated responses using set quality criteria. My evaluations supported model improvement by identifying hallucinations, bias, and low-quality outputs. I produced clear reasoning for ranking decisions, contributing to high-quality datasets for training. • Applied metrics such as accuracy, relevance, and coherence to assess responses. • Justified decisions with detailed explanations and documentation. • Enhanced dataset consistency and AI response reliability. • Maintained high throughput and accuracy on large evaluation sets.

Through the AI Response Evaluation & Ranking Project, I systematically compared AI-generated responses using set quality criteria. My evaluations supported model improvement by identifying hallucinations, bias, and low-quality outputs. I produced clear reasoning for ranking decisions, contributing to high-quality datasets for training. • Applied metrics such as accuracy, relevance, and coherence to assess responses. • Justified decisions with detailed explanations and documentation. • Enhanced dataset consistency and AI response reliability. • Maintained high throughput and accuracy on large evaluation sets.

2025 - Present

Freelance AI Data Annotator & Evaluator

RemotasksText

As a Freelance AI Data Annotator & Evaluator, I specialized in annotating and labeling large-scale datasets to support machine learning and AI model training. My work focused on evaluating and ranking AI-generated responses based on defined quality metrics. I consistently maintained high accuracy and contributed detailed feedback to enhance dataset reliability and model performance. • Annotated text, audio, and image data according to strict guidelines. • Evaluated AI outputs for accuracy, relevance, and adherence to instructions. • Provided structured, actionable feedback for continuous process improvement. • Identified edge cases and guideline inconsistencies to refine annotation standards.

As a Freelance AI Data Annotator & Evaluator, I specialized in annotating and labeling large-scale datasets to support machine learning and AI model training. My work focused on evaluating and ranking AI-generated responses based on defined quality metrics. I consistently maintained high accuracy and contributed detailed feedback to enhance dataset reliability and model performance. • Annotated text, audio, and image data according to strict guidelines. • Evaluated AI outputs for accuracy, relevance, and adherence to instructions. • Provided structured, actionable feedback for continuous process improvement. • Identified edge cases and guideline inconsistencies to refine annotation standards.

2025 - Present

Education

Work History