Faith Mwende

Key Skills

Software

Clickworker

CVAT

Labelbox

Prodigy

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Entity Ner Classification

Segmentation

Text Generation

Freelancer Overview

I am an expert in AI data labeling and annotation with over 3 years of experience in computer vision, NLP, and multilingual text generation. I have worked on diverse projects, including annotating datasets for self-driving cars, medical imaging diagnostics, and conversational AI systems. My expertise spans object detection, segmentation, text classification, and entity recognition, with proficiency in tools like Labelbox, SuperAnnotate, and Prodigy. I am fluent in English, Spanish, and French, enabling me to contribute to multilingual NLP projects. My attention to detail, technical skills, and ability to deliver high-quality results under tight deadlines set me apart. I am passionate about contributing to cutting-edge AI advancements and ensuring ethical AI development.

Labeling Experience

Object Detection and Segmentation for Autonomous Vehicles

LabelboxImageBounding BoxPolygon

This project involved annotating a large-scale dataset of images and videos for a leading autonomous vehicle company. My tasks included drawing bounding boxes around vehicles, pedestrians, and traffic signs, as well as performing pixel-level segmentation for road and lane detection. I also tracked objects across video frames to ensure consistency in motion analysis. The dataset consisted of over 100,000 images and 5,000 video clips, and I adhered to strict quality control measures, including regular peer reviews and accuracy checks. My work directly contributed to the training of AI models for self-driving car navigation and safety systems.

This project involved annotating a large-scale dataset of images and videos for a leading autonomous vehicle company. My tasks included drawing bounding boxes around vehicles, pedestrians, and traffic signs, as well as performing pixel-level segmentation for road and lane detection. I also tracked objects across video frames to ensure consistency in motion analysis. The dataset consisted of over 100,000 images and 5,000 video clips, and I adhered to strict quality control measures, including regular peer reviews and accuracy checks. My work directly contributed to the training of AI models for self-driving car navigation and safety systems.

2021 - 2021

Education

Work History