Faith Kesi

Key Skills

Software

AWS SageMaker

CVAT

Labelbox

Prodigy

SuperAnnotate

Remotasks

Top Subject Matter

Automotive Domain Expertise

Computer Vision

Traffic Scenes

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Polygon

Segmentation

Text Generation

Classification

Freelancer Overview

Data Annotation Specialist. Core strengths include CVAT, SuperAnnotate, and Remotasks. Education includes Certificate, Cloudfactory (2019). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Classification.

Labeling Experience

Data Annotation Specialist

CVATImageBounding Box

As a Data Annotation Specialist at Samasource, I labeled thousands of high-resolution automotive images for ADAS and autonomous driving projects. My work involved using CVAT and proprietary tools to annotate vehicles, pedestrians, traffic signs, and lane lines. I consistently maintained a 97%+ accuracy rate and ensured high-quality standards under strict guidelines. • Provided feedback to improve annotation guidelines and tool efficiency. • Collaborated with project leads to review ambiguous cases. • Delivered consistent, high-quality annotation work. • Specialized in traffic scene and vehicle component labeling.

As a Data Annotation Specialist at Samasource, I labeled thousands of high-resolution automotive images for ADAS and autonomous driving projects. My work involved using CVAT and proprietary tools to annotate vehicles, pedestrians, traffic signs, and lane lines. I consistently maintained a 97%+ accuracy rate and ensured high-quality standards under strict guidelines. • Provided feedback to improve annotation guidelines and tool efficiency. • Collaborated with project leads to review ambiguous cases. • Delivered consistent, high-quality annotation work. • Specialized in traffic scene and vehicle component labeling.

2021 - Present

Data Annotation Specialist & Web Researcher

SuperannotateImageClassification

As a Data Annotation Specialist & Web Researcher at Cloudfactory, I annotated both image and text datasets for diverse machine learning applications across multiple industries. My responsibilities included using SuperAnnotate and proprietary tools for object tagging and classification. I participated in quality control reviews and regular feedback sessions to enhance annotation accuracy. • Collaborated with teams remotely to deliver accurate datasets. • Focused on consistent application of labeling quality standards. • Enhanced annotation efficiency through weekly reviews. • Contributed annotations for traffic scene, vehicle, and pedestrian detection.

As a Data Annotation Specialist & Web Researcher at Cloudfactory, I annotated both image and text datasets for diverse machine learning applications across multiple industries. My responsibilities included using SuperAnnotate and proprietary tools for object tagging and classification. I participated in quality control reviews and regular feedback sessions to enhance annotation accuracy. • Collaborated with teams remotely to deliver accurate datasets. • Focused on consistent application of labeling quality standards. • Enhanced annotation efficiency through weekly reviews. • Contributed annotations for traffic scene, vehicle, and pedestrian detection.

2018 - 2020

Data Labeler / Annotator (Part-Time Contractor)

RemotasksImageBounding Box

At Remotasks (Scale AI), I worked as a Data Labeler/Annotator focusing on image and LiDAR annotations for computer vision datasets in self-driving car prototypes. Tasks included bounding boxes, segmentation, and classification on objects in complex traffic scenes. I completed over 1,500 tasks consistently and met daily quotas with high accuracy. • Used Remotasks platform for complex labeling assignments. • Specialized in objects relevant to autonomous vehicles. • Managed high task volumes under tight deadlines. • Contributed to early-stage self-driving technology data.

At Remotasks (Scale AI), I worked as a Data Labeler/Annotator focusing on image and LiDAR annotations for computer vision datasets in self-driving car prototypes. Tasks included bounding boxes, segmentation, and classification on objects in complex traffic scenes. I completed over 1,500 tasks consistently and met daily quotas with high accuracy. • Used Remotasks platform for complex labeling assignments. • Specialized in objects relevant to autonomous vehicles. • Managed high task volumes under tight deadlines. • Contributed to early-stage self-driving technology data.

2015 - 2017

Education

Work History