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Olayinka Shittu

@olayinkashittu

AI Trainer and Data Annotator skilled in labeling, segmentation, and QA, delivering accurate datasets that improve AI and computer vision models.

Nigeria

Message

What I'm looking for

I’m looking for a role where I can contribute to AI training, data annotation, QA testing, and improving AI responses, while growing my skills in computer vision and machine learning workflows. I value collaborative teams, clear processes, and opportunities for continuous learning.

I am an AI Trainer and Data Annotation Specialist with hands-on experience in image labeling, data segmentation, bounding box creation, content moderation, and AI response evaluation. Over the years, I’ve worked on diverse computer vision and NLP projects, contributing to high-quality datasets that power real-world AI systems.

My background includes annotating large-scale datasets, generating AI video content, performing QA testing, and supporting model evaluation workflows. I am experienced with tools such as Labelbox, CVAT, VGG Image Annotator, Supervisely, Excel, Google Sheets, and MPTE platforms. I also apply basic Python, HTML, and CSS to streamline data organization and simple workflow automation.

I enjoy solving data-related challenges, improving labeling consistency, and collaborating with teams to enhance model accuracy. My career interests lie in AI training, data operations, computer vision, and supporting companies that develop innovative machine learning products. I am committed to accuracy, reliability, and delivering clean, structured data that strengthens model performance.

Beyond my technical work, I am passionate about learning new technologies, improving annotation workflows, and expanding my skills within AI and data-centric roles.

Experience

Work history, roles, and key accomplishments

Current

AI Trainer & Data Specialist

Current

Freelancer

Jan 2025 - Present (11 months)

Provide AI training support, image annotation, data labeling and video content generation for diverse projects, improving dataset quality and model performance. Automate annotation workflows with basic Python and deliver timely, high-accuracy datasets for remote teams.

Data Labeling Bounding Box Python HTML CSS QA Testing Content Moderation

Data Annotator

Moon Valley AI

Jan 2023 - Dec 2024 (1 year 11 months)

Conducted image annotation, segmentation and labeling to improve dataset accuracy and consistency, and supported prompt generation and model evaluation to boost model performance. Collaborated cross-functionally to standardize labeling practices.

Segmentation Prompt Generation QA Testing Data Entry Excel Google Sheets

Data Annotation Intern

Kali Tech

Jan 2022 - Dec 2023 (1 year 11 months)

Gained foundational experience in bounding box labeling, data segmentation and dataset preparation for agricultural AI, assisting senior engineers with large-scale crop recognition datasets and QA testing to improve annotation precision.

Bounding Box Labeling Segmentation Labelbox CVAT Supervisely QA Testing Excel Google Sheets

Education

Degrees, certifications, and relevant coursework

Covenant University

Bachelor of Science, Computer Science

Activities and societies: AI training support, video content generation, data entry, dataset preparation

B.Sc. in Computer Science (ongoing) with coursework and practical experience applied to AI training, data annotation, and basic Python for workflow automation.

Yaba College of Technology

National Diploma, Computer Science

2022 - 2024

Activities and societies: MPTE evaluations, AI response evaluation, prompt generation, QA testing

National Diploma in Computer Science focusing on practical skills in HTML, CSS, basic Python, and AI-related dataset tasks including annotation and QA testing.