Charles Magati

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Task Types

Segmentation

Object Detection

Freelancer Overview

I am an experienced data contributor with a strong background in data labeling, annotation, and AI training workflows, particularly in natural language processing (NLP) and web-based evaluation. My hands-on experience includes annotating and categorizing data for NLP tasks, evaluating search engine outputs, and ensuring data quality and integrity for global AI development projects. I am proficient in following strict project guidelines, meeting productivity benchmarks, and using tools such as Microsoft Excel, SPSS, NVivo, and remote collaboration platforms like Zoom and Webex. I have practical exposure to Python and JavaScript for data validation and annotation interface tasks, and I am skilled at quality assurance, classification accuracy, and continuous process improvement. My attention to detail, analytical mindset, and ability to work effectively in remote teams make me a valuable asset for AI data training and annotation projects.

Labeling Experience

Data Labeling Professional | Image & Video Segmentation

Scale AIImageSegmentationObject Detection

Segmentation involved carefully outlining and labeling specific objects or regions within images to train computer vision models. The task required drawing precise boundaries (polygons or masks) around items such as cars, pedestrians, buildings, or other objects, ensuring that each was correctly categorized according to project guidelines. Accuracy and attention to detail were critical, since the quality of these segmentations directly impacted how well AI systems could recognize and differentiate objects in real-world scenarios.

Segmentation involved carefully outlining and labeling specific objects or regions within images to train computer vision models. The task required drawing precise boundaries (polygons or masks) around items such as cars, pedestrians, buildings, or other objects, ensuring that each was correctly categorized according to project guidelines. Accuracy and attention to detail were critical, since the quality of these segmentations directly impacted how well AI systems could recognize and differentiate objects in real-world scenarios.

2022 - 2024

Education

Work History