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Samson Kibor

@samsonkibor

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Detail-oriented Data Annotator passionate about computer vision and AI.

Kenya

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What I'm looking for

I am looking for opportunities in AI-driven roles that foster growth and innovation.

I am a detail-oriented Data Annotator with a strong passion for computer vision and artificial intelligence. With hands-on experience in labeling and annotating images and videos for machine learning models, I have developed a keen eye for accuracy and a solid understanding of annotation tools such as CVAT and Labelbox. My background includes collaborating with data scientists to refine annotation guidelines, ensuring high-quality outputs that enhance model accuracy.

Throughout my career, I have worked on various projects, including annotating datasets for self-driving cars and facial recognition systems. My commitment to quality assurance and attention to detail has allowed me to maintain consistency across large-scale datasets. As I continue to learn Python and OpenCV, I am eager to grow into a Computer Vision Engineer role, contributing to innovative AI-driven projects.

Experience

Work history, roles, and key accomplishments

Labeler, Reviewer

Remotasks

Performed data annotation for AI training datasets, specializing in computer vision tasks. Reviewed and corrected annotations to meet high-quality standards. Engaged in QA and QC processes to validate and refine labeled data.

Quality Assurance Quality Control Computer Vision Team Collaboration

Data Annotator

CVAT.AI

Labeled and annotated large datasets for computer vision tasks, ensuring high-quality annotations. Used tools like Labelbox and CVAT to perform object detection and segmentation tasks. Collaborated with data scientists to refine annotation guidelines and improve model accuracy.

Object Detection Segmentation Labelbox CVAT Quality Assurance Data Labeling Problem Solving Team Collaboration

Labeler, Reviewer

Digital Divide Data

Labeled and reviewed large-scale datasets for AI training models. Conducted quality assurance (QA) and quality control (QC) checks to maintain annotation accuracy. Provided feedback to improve labeling guidelines and ensure consistency across projects.

Quality Assurance Quality Control Labeling Guidelines Team Collaboration