Pleasant Wandia

Detail-oriented Data Annotator with hands-on experience in AI-related image output editing through iMerit Scholars. Skilled in following detailed project guidelines, reviewing digital content, identifying inconsistencies, and maintaining accurate and consistent annotations. Strong written English, visual attention to detail, critical thinking, and ability to work independently in remote, high-volume environments.

Holds a Bachelor's Degree in Information Systems and Knowledge Management and ALX Africa Virtual Assistant Certification.

Data Annotator at iMerit Scholars (2026-04 – Present)

Project: Nidra WF9 Image Output Editing

• Reviewed and edited image outputs according to project guidelines and quality standards.
• Identified visual inconsistencies, errors, and unclear outputs during annotation tasks.
• Applied project guidelines consistently across high volumes of digital content.
• Maintained accuracy, attention to detail, and quality throughout assigned tasks.
• Worked independently while adapting to task requirements and changing instructions.
• Followed responsible practices when handling project information and digital content.

Bachelor's Degree in Information Systems and Knowledge Management – Masinde Muliro University of Science and Technology

Certification in Virtual Assistant – ALX Africa