Ronny Ouko
@ronnyouko
I’m an AI trainer and data annotator who delivers consistent, high-quality labeled data for NLP models.
What I'm looking for
I have an extensive background in improving the performance of AI models by providing high-quality data annotation, content analysis, and evaluation, with over 4 years in practice. I’m a careful data annotator and AI trainer, known for meeting high-quality standards and maintaining consistency in data while collaborating with other interdisciplinary teams to support AI model development and world-building projects.
In my work, I annotate and review AI-generated content—including dialogue, quests, scenes, and character interactions—and evaluate AI responses against predefined quality, relevance, and accuracy guidelines. I also support immersive world-building by refining character profiles, narrative details, and environmental descriptions, and I continuously improve annotation guidelines based on quality review findings.
Experience
Work history, roles, and key accomplishments
Data Annotator & AI Trainer
Remote
Jan 2022 - Present (4 years 2 months)
Annotated and reviewed AI-generated dialogues, quests, scenes, and character interactions, ensuring responses met predefined quality, relevance, and accuracy guidelines. Supported immersive world-building by refining character profiles, narrative details, and environmental descriptions.
Content Reviewer & Data Specialist
AI Training Projects
Jan 2020 - Dec 2021 (1 year 11 months)
Labeled and categorized text data for NLP and conversational AI models and reviewed AI outputs for tone, bias, clarity, and contextual relevance. Maintained high annotation accuracy across large repetitive datasets and updated annotation guidelines based on quality review findings.
Education
Degrees, certifications, and relevant coursework
University of Nairobi
Bachelor of Information Technology, Information Technology
2018 - 2022
Bachelor’s degree in Information Technology with a focus on Data and AI, including Natural Language Processing (NLP), data annotation and labeling, AI fundamentals, data analysis, quality assurance, and human-computer interaction.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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