Ben Williams

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Dataturk

Deep Systems

Diffgram

Encord

Google Cloud Vertex AI

Hasty

Humanatic

iMerit

Img Lab

Kili Technology

Labelbox

LabelImg

Label Studio

LightTag

Lionbridge

Mighty AI

Mindrift

OneForma

OpenCV AI Kit (OAK)

Redbrick AI

Sama

Toloka

Internal/Proprietary Tooling

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Bounding Box

Classification

Data Collection

Freelancer Overview

An experienced Data Annotation Specialist with over three years of expertise in labelling and annotating data essential for training AI and machine learning models in computer vision. I am proficient in using advanced annotation tools, such as CVAT, to create high-quality datasets that facilitate the development and training of machine learning models. My strong background in data pre-processing—including resizing images, standardising text, and formatting data—ensures that datasets are both accurate and consistent, driving machine learning performance. I am dedicated to enhancing AI systems through precise data annotation and collaborating with teams to meet project goals and timelines. In addition to my technical abilities, I excel in teamwork, collaborating with machine learning engineers, data scientists, and project managers to ensure the seamless delivery of high-quality datasets. I have a proven track record of working independently and adapting to dynamic, fast-paced environments while maintaining a high level of professionalism and meeting project deadlines.

Labeling Experience

Image Annotation for Autonomous Vehicles

CVATImageBounding BoxPolygon

Annotated images to identify road signs, pedestrians, and objects. Performed bounding box annotation for object detection and semantic segmentation for precise image labelling. Reviewed and ensured the quality and consistency of data for use in autonomous driving model training.

Annotated images to identify road signs, pedestrians, and objects. Performed bounding box annotation for object detection and semantic segmentation for precise image labelling. Reviewed and ensured the quality and consistency of data for use in autonomous driving model training.

2020 - 2023

Text Categorization for Sentiment Analysis

Aws SagemakerTextText GenerationEmotion Recognition

Categorised customer reviews into sentiment categories (positive, neutral, negative). Conducted text labelling to identify relevant keywords and phrases for sentiment analysis. Reviewed categorised data to ensure consistency across multiple annotations.

Categorised customer reviews into sentiment categories (positive, neutral, negative). Conducted text labelling to identify relevant keywords and phrases for sentiment analysis. Reviewed categorised data to ensure consistency across multiple annotations.

2020 - 2021

Point Cloud Annotation for 3D Object Detection

Scale AI3D SensorBounding BoxLand Cover Classification

Annotated 3D point cloud data from LiDAR sensors for object detection. Labelled 3D objects (vehicles, pedestrians, road structures) to improve machine learning model training. Used advanced point cloud annotation tools to ensure precise object labelling for autonomous systems.

Annotated 3D point cloud data from LiDAR sensors for object detection. Labelled 3D objects (vehicles, pedestrians, road structures) to improve machine learning model training. Used advanced point cloud annotation tools to ensure precise object labelling for autonomous systems.

2017 - 2017

Video Annotation for Activity Recognition

LabelboxVideoAction Recognition

Annotated video data by identifying and labelling key actions and objects. Used CVAT for frame-by-frame object tracking and activity classification within video clips. Conducted quality control checks to maintain high annotation accuracy.

Annotated video data by identifying and labelling key actions and objects. Used CVAT for frame-by-frame object tracking and activity classification within video clips. Conducted quality control checks to maintain high annotation accuracy.

2013 - 2014

Education

Work History