Mwarome .001

I have over 4 years of experience in data annotation, specializing in providing high-quality labels for diverse AI and machine learning projects. My expertise spans image, video, text, and audio annotation, ensuring accuracy and consistency to meet strict project requirements. I am proficient in tools like Labelbox, Cvat and RectLabel, and have successfully delivered projects in fields like computer vision, NLP, and autonomous systems.

What sets me apart is my attention to detail, ability to meet deadlines, and a strong commitment to maintaining data integrity. I thrive in fast-paced environments and enjoy collaborating with teams to optimize workflows and achieve project goals. My knowledge of data annotation guidelines and trends enables me to adapt quickly to new challenges, making me an asset to any project.

Data Annotator Specialist at CloudFactory Kenya (2020-03 – 2024-03)

Detail-oriented Data Annotator with 4 years of experience in labeling images, text, Segmentation, Polygon and videos for machine learning models. Proficient in annotation tools like LabelImg, CVAT, Labelbox, etc. Strong understanding of data quality control, consistency checks, and annotation guidelines. Passionate about contributing to AI and machine learning projects through precise data labeling.

• Labeled over 200,000 images with 98% accuracy, enhancing the machine learning model's performance.
• Annotated 3,000 hours of data, resulting in improvement in machine learning accuracy.
• Labeled images/videos/text for machine learning models, ensuring high accuracy and consistency.
• Collaborated with AI engineers to refine labeling guidelines.
• Performed quality checks and provided feedback to improve dataset accuracy.
• Data Labeling Techniques: Bounding boxes, segmentation, keypoints, text annotation, etc.
• Used smart-tool, brush-tool, polygon-tool, bounding-box tool etc to annotate data efficiently.

Data Annotator at Sama Source Kenya (2018-05 – 2024-10)

Experienced in labeling and annotating images, videos, and text to train machine learning models. Proficient in using annotation tools like LabelImg, CVAT, and Labelbox to ensure accurate and high-quality data labeling. Skilled in applying various annotation techniques, including bounding boxes, segmentation, and keypoint marking.

Collaborated with AI teams to refine labeling guidelines and maintain data consistency. Conducted quality control checks to improve dataset accuracy and reliability. Strong attention to detail and ability to work efficiently in deadline-driven environments.

• Labeled images/videos/text for machine learning models, ensuring high accuracy and consistency.

Bachelor's Degree in Computer Science – Nairobi University (2015-03 – 2020-11)