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Emmanuel

Emmanuel

AI Data Annotator & Model Evaluation Specialist | NLP, Text Classification, RLHF

United Kingdom flagDerby, United Kingdom
$20.00/hrIntermediateGoogle Cloud Vertex AILabelboxScale AI

Key Skills

Software

Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelboxLabelbox
Scale AIScale AI
AppenAppen
RemotasksRemotasks
TolokaToloka
SuperAnnotateSuperAnnotate

Top Subject Matter

Natural Language Processing (NLP) & Text Data Annotation
AI Model Evaluation & Response Quality Analysis
Data Annotation, Labeling & Quality Assurance

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Evaluation/RatingEvaluation/Rating
Text SummarizationText Summarization
Question AnsweringQuestion Answering
Data CollectionData Collection
RLHFRLHF
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

I have a strong background in working with data and have recently focused on supporting AI systems through data annotation, evaluation, and quality improvement tasks. I enjoy working with text-based data, especially where it involves making sense of unstructured information and turning it into something usable for machine learning models. I’ve worked on tasks such as classifying text, identifying key information (NER), reviewing AI-generated responses, and ensuring data is accurate and consistent. I pay close attention to detail and follow guidelines carefully, which helps me maintain high-quality outputs across different types of projects. My experience in data analysis (using tools like Python, SQL, and Excel) also allows me to approach tasks in a structured and logical way. I’m comfortable working independently, meeting deadlines, and adapting to new instructions quickly. Overall, I’m reliable, thorough, and focused on producing clean, accurate data that helps improve AI performance.

IntermediateEnglish

Labeling Experience

AI Model Feedback and Improvement (RLHF)

TextRLHF
I supported AI model improvement by reviewing and comparing different responses, then selecting the most accurate and useful ones. I also provided feedback to help refine how the model responds. This type of work helps improve how AI systems behave and ensures they produce better, more reliable outputs over time.

I supported AI model improvement by reviewing and comparing different responses, then selecting the most accurate and useful ones. I also provided feedback to help refine how the model responds. This type of work helps improve how AI systems behave and ensures they produce better, more reliable outputs over time.

2026 - Present

Data Quality Review and Validation

DocumentData Collection
I carried out data quality checks on labelled datasets to make sure everything was accurate and consistent. This included identifying errors, fixing inconsistencies, and ensuring that all data followed the required standards. I focused on maintaining high-quality datasets, which is important for training reliable machine learning models.

I carried out data quality checks on labelled datasets to make sure everything was accurate and consistent. This included identifying errors, fixing inconsistencies, and ensuring that all data followed the required standards. I focused on maintaining high-quality datasets, which is important for training reliable machine learning models.

2026 - 2026

Text Summarisation and Question Answering

TextText Summarization
I worked on summarising longer pieces of text into shorter, clear summaries while keeping the key points intact. I also created and reviewed question-and-answer pairs based on provided content. This required a good understanding of context and attention to detail to ensure that summaries and answers were accurate and aligned with the original text.

I worked on summarising longer pieces of text into shorter, clear summaries while keeping the key points intact. I also created and reviewed question-and-answer pairs based on provided content. This required a good understanding of context and attention to detail to ensure that summaries and answers were accurate and aligned with the original text.

2025 - 2026

AI Response Evaluation and Quality Rating

TextEvaluation Rating
I reviewed and rated AI-generated responses based on how accurate, relevant, and clear they were. This involved comparing outputs, identifying mistakes or inconsistencies, and selecting the best responses based on given criteria. I also provided feedback where necessary to highlight areas for improvement. This helped improve the overall quality and reliability of the AI system.

I reviewed and rated AI-generated responses based on how accurate, relevant, and clear they were. This involved comparing outputs, identifying mistakes or inconsistencies, and selecting the best responses based on given criteria. I also provided feedback where necessary to highlight areas for improvement. This helped improve the overall quality and reliability of the AI system.

2025 - 2025

Named Entity Recognition (NER) Annotation

TextEntity Ner Classification
I annotated text by identifying and tagging key pieces of information such as names, locations, organisations, and other important terms. This helped structure unstructured text so it could be used effectively for machine learning tasks. I followed annotation guidelines closely to ensure consistency and accuracy, and I paid attention to detail when dealing with overlapping or unclear entities. This type of work supports systems that rely on extracting useful information from large amounts of text.

I annotated text by identifying and tagging key pieces of information such as names, locations, organisations, and other important terms. This helped structure unstructured text so it could be used effectively for machine learning tasks. I followed annotation guidelines closely to ensure consistency and accuracy, and I paid attention to detail when dealing with overlapping or unclear entities. This type of work supports systems that rely on extracting useful information from large amounts of text.

2025 - 2025

Education

C

Covenant University

Bachelor of Engineering, Civil Engineering

Bachelor of Engineering
Not specified
U

University of Derby

Master of Science, Big Data Analytics

Master of Science
Not specified

Work History

U

University of Derby

Data Analyst and Machine Learning Engineer

Derby
2025 - Present
U

UK Public-Sector Client

Data Analyst

N/A
2025 - 2025