Timilehin D.

Key Skills

Software

Scale AI

Telus

OneForma

Top Subject Matter

Artificial Intelligence & Machine Learning- AI Response Evaluation & Training Data

E-Commerce- Sentiment Analysis & Customer Support Data

Information Technology- Technical Content & Cybersecurity Data

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Evaluation/Rating

Object Detection

Entity (NER) Classification

Data Collection

Text Summarization

Freelancer Overview

I have a solid analytical background built on my Computer Science degree and my experience working with digital systems, data management, and administrative processes. Over time, I’ve developed a strong eye for detail and a commitment to accuracy, which has been essential in roles that involve reviewing information, following clear guidelines, and keeping work consistent and reliable. I am used to handling structured data, preparing reports, and working in environments where precision and confidentiality matter. I pick up new tools quickly, work well independently, and stay focused on meeting productivity targets. Altogether, my technical knowledge, analytical approach, and focus on quality make me well‑suited to contributing to AI training and data annotation projects, ensuring the data produced is dependable and high‑quality.

Labeling Experience

Sentiment Analysis Dataset Annotation

TextText Generation

Labeled text data based on positive, negative, neutral, and mixed sentiment categories. Reviewed customer feedback, reviews, and conversational content to identify emotional tone and intent. Ensured consistency across annotations and participated in quality control processes to maintain dataset integrity.

2024 - Present

Image Annotation and Object Tagging

ImageBounding Box

Annotated images by identifying, classifying, and tagging objects according to project requirements. Applied consistent labeling standards to support computer vision model training. Conducted quality checks to ensure annotation accuracy and completeness while handling large image datasets.

2024 - Present

Text Classification and Intent Recognition

TextClassification

Categorized text samples into predefined classes based on intent, topic, and sentiment. Annotated customer interactions, conversational data, and written content according to project guidelines. Maintained high annotation accuracy through quality assurance reviews and consistent application of labeling standards.

2024 - Present

AI Response Evaluation and Quality Review

TextEvaluation/Rating

Reviewed and evaluated AI-generated responses for factual accuracy, relevance, coherence, and adherence to user instructions. Applied predefined rating guidelines to assess response quality and identify hallucinations, logical inconsistencies, and safety concerns. Documented evaluation outcomes and provided structured feedback to improve model performance and reliability.

2024 - Present

Education

Work History