Leonard Maweu

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Freelancer Overview

I have hands-on experience in data labeling and AI training data, having worked extensively with platforms such as **Remotasks** and **CloudFactory**. My background includes annotating diverse datasets ranging from computer vision (image classification, object detection, segmentation) to natural language processing (text categorization, sentiment analysis, entity recognition). I developed strong expertise in following complex labeling guidelines with precision, ensuring high-quality annotations that meet client standards. This experience sharpened my attention to detail, consistency, and ability to work efficiently with large-scale datasets under tight deadlines. What sets me apart is my ability to balance speed with accuracy while adapting to different project requirements. At Remotasks, I contributed to autonomous vehicle training data projects, where precise bounding box and semantic segmentation work was critical for model performance. With CloudFactory, I collaborated on large-scale text and image annotation projects, often involving multi-step quality assurance processes. These roles strengthened my skills in quality control, teamwork in distributed environments, and using specialized labeling tools. My combination of technical proficiency, adaptability, and proven track record in delivering reliable training data makes me well-prepared to support AI development initiatives.

Labeling Experience

Image Anotation

Data Annotation TechImageBounding Box

I contributed to multiple large-scale AI training projects through Remotasks and CloudFactory, focusing on the preparation of high-quality datasets for machine learning models. My work involved annotating images, text, and video data with precision, following complex guidelines to ensure consistency and accuracy. Key tasks included bounding box creation for autonomous vehicle datasets, semantic segmentation for computer vision models, and text categorization for natural language processing applications.

I contributed to multiple large-scale AI training projects through Remotasks and CloudFactory, focusing on the preparation of high-quality datasets for machine learning models. My work involved annotating images, text, and video data with precision, following complex guidelines to ensure consistency and accuracy. Key tasks included bounding box creation for autonomous vehicle datasets, semantic segmentation for computer vision models, and text categorization for natural language processing applications.

2023 - 2024

Education

Work History