Rachael Maina

I am a detail-oriented content moderation and data annotation professional with hands-on experience labeling text, image, and video data to support AI and machine learning projects. I consistently deliver high accuracy—notably achieving 98% annotation and moderation precision in high-volume settings.

My background includes roles in content moderation, customer support, and data annotation across remote and on-site environments in Nairobi. I excel at following strict guidelines, escalating policy violations appropriately, and collaborating with teams to refine moderation protocols and annotation standards.

In customer-facing roles I resolved 95% of issues within 24 hours, improved retention rates, and trained new hires to maintain quality service. I streamline processes using tools like Zendesk, HubSpot, Trello, and Google Workspace to increase productivity and reduce errors.

I am committed to contributing to innovative AI projects through meticulous data labeling, clear communication, and adaptability to evolving workflows. I bring a strong work ethic, remote-work discipline, and a passion for continuous learning in digital tools and annotation best practices.