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Oyeniyi Alabi

@oyeniyialabi

Detail-oriented AI data annotator and research assistant who improves training data quality through rigorous evaluation.

Nigeria
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What I'm looking for

I’m looking for remote opportunities where I can support AI training pipelines through careful data annotation, online research, and fact-checking—while applying structured research methods, metadata awareness, and strong accuracy to deliver reliable results.

I’m a Library & Information Science student with a strong foundation in data management, research methodology, and information organisation. I focus on accuracy, structured thinking, and clear communication—especially when evaluating information quality for real-world AI tasks.

In my academic research and information retrieval work at Federal University Dutse (2022–Present), I conduct systematic literature searches, assess source credibility and relevance, and organise large volumes of information using classification principles. I also prepare structured research summaries and reports in English, ensuring findings are easy to verify and act on.

I’m also building hands-on capability in data collection, validation, and analysis through coursework, where I organise, clean, and analyse datasets using spreadsheet tools and apply understanding of metadata standards. Alongside that, my virtual assistance practice (2024–Present) strengthens my reliability—managing inboxes, scheduling tasks, and organising documents using Google Workspace and Microsoft Office.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Federal University Dutse logoFD

Federal University Dutse

Bachelor of Library and Information Science, Library and Information Science

2022 -

Activities and societies: Relevant coursework: Research Methods, Data Management, Information Analysis, Library Systems.

Pursuing a Bachelor of Library and Information Science at Federal University Dutse. Building skills in research methods, data management, information analysis, and structured information retrieval.

Tech stack

Software and tools used professionally

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