Jesse Mugo

I am a committed data annotator and bilingual Swahili–English communicator with over three years of experience working on image, video, and 3D LiDAR datasets. Through my training at Digital Divide Data (DDD), I received hands-on guidance in soft skills, professional development, and best employability practices, which strengthened my communication, teamwork, and adaptability. During this period, I also learned the foundations of machine learning and AI, which helped me understand how high-quality data annotation contributes to model performance.

I have since gained strong skills in polygon segmentation, semantic labeling, translation, quality checks, and detailed annotation work for AI training projects. I take pride in producing accurate, reliable, and consistent results, especially in remote and fast-paced environments.

Data Labelling Associate at Sama Source (2023-02 – 2024-12)

• Annotated image, video, and 3D LiDAR datasets for AI models.
• Created accurate polygon and semantic labels based on project standards.
• Reviewed and corrected annotations to maintain a high accuracy rate.
• Worked closely with project managers to clarify guidelines and resolve challenges.
• Adapted quickly to new instructions and handled large volumes of work smoothly.

LiDAR Annotation Specialist at Remotask (2021-01 – 2022-12)

• Labeled 3D point cloud data for autonomous vehicle training.
• Used CVAT and CloudCompare to mark, classify, and verify objects.
• Followed detailed guidelines to ensure precise annotations.
• Collaborated with remote teammates to maintain consistency across projects.
• Managed demanding workflows while staying focused and detail-oriented.

Bachelor's Degree in Information Technology – University of Nairobi (2021 – 2024)

Kenya Certificate of Secondary Education – Njoro Day Secondary School (2015 – 2018)