Olawale Ajayi
@olawaleajayi
AI Data Specialist and Yoruba AI Trainer focused on quality, annotation, and culturally accurate language.
What I'm looking for
I’m a Yoruba AI Trainer and AI Data Specialist with a computer science background and years of experience in data evaluation, language analysis, and quality assurance. I evaluate AI-generated outputs for accuracy, relevance, tone, and instruction compliance, applying detailed annotation guidelines to ensure consistent, fair results.
I also focus on human-in-the-loop AI training and responsible AI practices—flagging bias, ambiguity, and ethical risks while performing intent and text classification, bias detection, and fact verification. I’ve worked with distributed teams and remote environments, maintaining high quality and productivity while improving AI system behavior through structured feedback.
Experience
Work history, roles, and key accomplishments
Evaluated AI-generated outputs for accuracy, relevance, tone, and instruction compliance, applying detailed annotation guidelines. Flagged bias and ethical risks and provided structured feedback to improve AI response quality through human-in-the-loop quality calibration.
Rated search results, text outputs, and AI responses for relevance and usefulness against predefined quality standards. Performed user-intent classification and assessed language understanding and content quality.
AI Data Annotation Specialist
Freelance
Mar 2018 - Dec 2018 (9 months)
Evaluated AI-generated responses for relevance, accuracy, fluency, and instruction compliance while applying annotation guidelines consistently. Reviewed linguistic quality and cultural appropriateness, and reported inconsistencies, ambiguity, and bias to improve model performance.
Education
Degrees, certifications, and relevant coursework
Kings University
Bachelor of Science, Computer Science
2016 - 2020
B.Sc. in Computer Science with a focus on information systems, logic, and data workflows. Thesis work on an improved data classification approach using a stacking ensemble.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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