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Juliet Uzoeshi

Juliet Uzoeshi

Expert in Data Labelling, Annotation, AI training & code generation.

United Kingdom flagchesterfield, United Kingdom
$30.00/hrIntermediateAppenClickworkerData Annotation Tech

Key Skills

Software

AppenAppen
ClickworkerClickworker
Data Annotation TechData Annotation Tech
LabelboxLabelbox
RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Task Types

Computer Programming Coding
Data Collection
Evaluation Rating
Fine Tuning
Text Generation

Freelancer Overview

With extensive experience in data labeling and AI training data, I have worked on various projects that require meticulous attention to detail and a deep understanding of machine learning workflows. My expertise spans data annotation, fine-tuning, and dataset evaluation for large language models (LLMs), where I ensure the creation of high-quality, well-structured datasets to enhance model accuracy. Additionally, I have contributed to AI-driven code generation projects, such as Dolphin Genesis. I am skilled in using advanced annotation tools for diverse data types, including text, images, and structured datasets. My technical proficiency in Python and Django and hands-on experience in AI and automation allow me to support and optimise machine learning projects efficiently. My strong focus on accuracy, consistency, and iterative improvements ensures that AI models are trained with the best possible data.

IntermediateFrenchEnglish

Labeling Experience

Labelbox

Structured Data Annotation for Predictive Analytics

LabelboxTextClassificationQuestion Answering
I have experience in annotating structured datasets, ensuring that each entry was properly labelled and aligned with the model’s objectives. This involved categorising data into specific fields and ensuring that the annotations were consistent and accurate to improve predictive model outcomes.

I have experience in annotating structured datasets, ensuring that each entry was properly labelled and aligned with the model’s objectives. This involved categorising data into specific fields and ensuring that the annotations were consistent and accurate to improve predictive model outcomes.

2024
Scale AI

Image Annotation for Computer Vision Models

Scale AIImageClassificationObject Detection
I contributed to image annotation projects, where I labelled and tagged images with specific attributes and categories. This involved identifying key features in images, such as objects or areas of interest, to support the development of machine learning models for computer vision applications.

I contributed to image annotation projects, where I labelled and tagged images with specific attributes and categories. This involved identifying key features in images, such as objects or areas of interest, to support the development of machine learning models for computer vision applications.

2024
Labelbox

Text Categorisation for LLM Training

LabelboxTextSegmentationClassification
I worked on annotating and categorising large volumes of text data for training large language models. My tasks included labelling text into specific categories and ensuring the accuracy of annotations to help improve model performance in understanding context and generating relevant responses.

I worked on annotating and categorising large volumes of text data for training large language models. My tasks included labelling text into specific categories and ensuring the accuracy of annotations to help improve model performance in understanding context and generating relevant responses.

2024

Education

H

HyperionDev Bootcamp (UK Department of Education Sponsored)

Bootcamp, Software Engineering

Bootcamp
2024 - 2025
S

Sheffield Hallam University

Masters in Automation Control and robotics

Masters in Automation Control and robotics
2022 - 2025

Work History

S

Scale AI

AI LLM Model Trainer

chesterfield
2024 - Present
L

LabelBox

Code & Data Generation Analyst

chesterfield
2024 - Present