Kelvin Rotich

Detail-oriented and tech-savvy professional with strong expertise in computer operations, data entry, data annotation, and web design. Skilled in managing large datasets with accuracy and efficiency, ensuring high-quality data labeling for machine learning and AI projects. Adept at using various software tools and platforms to streamline workflows, enhance productivity, and maintain data integrity.

Experienced in designing and maintaining user-friendly websites with a focus on functionality, aesthetics, and responsive design. Furthermore, experience in reviewing and tagging video, audio, and text content for AI training. I've contributed to multimodal projects at LXT and TELUS International, applying structured rubrics and maintaining high annotation quality.

I thrive in remote, asynchronous environments and bring precision, consistency, and strong instruction-following to every task.

Research & Data Annotation Specialist at LXT (2024-06 – 2025-03)

Reviewed and annotated text and audio clips for AI training, ensuring verbatim accuracy. Evaluated AI-generated responses and flagged inconsistencies to improve model reliability. Followed detailed project guidelines and privacy protocols across multilingual datasets. Provided feedback to refine annotation instructions and edge case handling.

• Reviewed and annotated text and audio clips for AI training, ensuring verbatim accuracy
• Evaluated AI-generated responses and flagged inconsistencies to improve model reliability
• Followed detailed project guidelines and privacy protocols across multilingual datasets
• Provided feedback to refine annotation instructions and edge case handling

Data Entry Specialist at Merco Ai (2023-12 – 2024-07)

Validated and organized large volumes of multilingual data for AI and research projects. Maintained high accuracy while meeting daily quotas in fast-paced annotation cycles. Collaborated with remote teams and responded to quality audits and feedback. Supported rubric-driven annotation workflows across diverse content types.

• Validated and organized large volumes of multilingual data for AI and research projects
• Maintained high accuracy while meeting daily quotas in fast-paced annotation cycles
• Collaborated with remote teams and responded to quality audits and feedback
• Supported rubric-driven annotation workflows across diverse content types

Data Analyst at Cloudfactory Ai Company (2025-04 – 2025-12)

Performed fast and accurate typing, attention to detail, and ability to manage large datasets. Performed labeling and categorizing data for machine learning and AI projects. Engaged task of HTML, CSS, and basic JavaScript; creating responsive and user-friendly websites.

• Data Entry: Performed fast and accurate typing, attention to detail, and ability to manage large datasets
• Data Annotation: Performed labeling and categorizing data for machine learning and AI projects
• Web Design: Engaged task of HTML, CSS, and basic JavaScript; creating responsive and user-friendly websites

Bachelor of Science in Information & Technology – University of Nairobi (2023)