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Habeeb Olawale Hammed

Habeeb Olawale Hammed

Data Scientist, AI Evaluator & Data Annotation Specialist (Freelance)

France flagNice, France
$20.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

General AI/ Machine Learning & Deep Learning & Data Visualization
Natural Language Processing
Computer Vision

Top Data Types

TextText
VideoVideo
ImageImage

Top Task Types

Classification
Entity Ner Classification

Freelancer Overview

AI Evaluator & Data Annotation Specialist (Freelance). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Master of Science, Université Côte d'Azur (2025) and Bachelor of Science, University of Ibadan (2020). AI-training focus includes data types such as Text, Video, and Image and labeling workflows including Evaluation, Rating, and Classification.

ExpertEnglishFrench

Labeling Experience

AI Evaluator & Data Annotation Specialist (Freelance)

OtherText
In this freelance role, I evaluated and annotated AI-generated responses across multiple platforms. I applied structured annotation guidelines to assess output quality and accuracy. My work involved both reviewing model outputs and annotating data for training machine learning systems. • Evaluated relevance and accuracy of AI responses. • Annotated text and structured datasets following detailed instructions. • Selected optimal responses from competing model outputs. • Ensured high-quality, consistent annotations.

In this freelance role, I evaluated and annotated AI-generated responses across multiple platforms. I applied structured annotation guidelines to assess output quality and accuracy. My work involved both reviewing model outputs and annotating data for training machine learning systems. • Evaluated relevance and accuracy of AI responses. • Annotated text and structured datasets following detailed instructions. • Selected optimal responses from competing model outputs. • Ensured high-quality, consistent annotations.

2025 - Present

Machine Learning Engineer – Body.Scratch

VideoClassification
As a Machine Learning Engineer, I processed and annotated video datasets for pose detection and activity recognition. I developed pipelines for cleaning and validating training data. My efforts improved the accuracy and consistency of classification models. • Annotated video data for pose and activity categorization. • Built data validation pipelines to support annotation. • Evaluated outputs to support model performance. • Maintained quality across large datasets.

As a Machine Learning Engineer, I processed and annotated video datasets for pose detection and activity recognition. I developed pipelines for cleaning and validating training data. My efforts improved the accuracy and consistency of classification models. • Annotated video data for pose and activity categorization. • Built data validation pipelines to support annotation. • Evaluated outputs to support model performance. • Maintained quality across large datasets.

2025 - 2025

Data Scientist Intern – ACRI-ST

OtherImageClassification
In this data science internship, I annotated and quality-checked over 100,000 satellite images. I ensured high consistency, labeling, and validation across geospatial datasets. My responsibilities included evaluating output predictions for improved accuracy. • Conducted image classification for satellite data. • Performed quality assurance and validation tasks. • Evaluated model predictions against labeled data. • Managed large-scale dataset annotation projects.

In this data science internship, I annotated and quality-checked over 100,000 satellite images. I ensured high consistency, labeling, and validation across geospatial datasets. My responsibilities included evaluating output predictions for improved accuracy. • Conducted image classification for satellite data. • Performed quality assurance and validation tasks. • Evaluated model predictions against labeled data. • Managed large-scale dataset annotation projects.

2024 - 2024

NLP Research Intern – INRIA

OtherTextEntity Ner Classification
During my NLP internship, I annotated clinical text datasets for research applications. I evaluated large language model outputs for hallucinations and relevancy. My work supported benchmarking and quality improvement of NLP pipelines. • Performed detailed annotation on biomedical text data. • Evaluated LLM outputs using structured guidelines. • Supported pipeline development for dataset evaluation. • Maintained rigorous quality assurance practices.

During my NLP internship, I annotated clinical text datasets for research applications. I evaluated large language model outputs for hallucinations and relevancy. My work supported benchmarking and quality improvement of NLP pipelines. • Performed detailed annotation on biomedical text data. • Evaluated LLM outputs using structured guidelines. • Supported pipeline development for dataset evaluation. • Maintained rigorous quality assurance practices.

2024 - 2024

Education

U

Université Côte d'Azur

Master of Science, Data Science and Artificial Intelligence

Master of Science
2023 - 2025
U

University of Ibadan

Bachelor of Science, Statistics

Bachelor of Science
2016 - 2020

Work History

B

Body. Scratch

Machine Learning Engineer

Eindhoven
2025 - 2025
I

Inria-Université Côte d’Azur

NLP Research Intern

Sophia Antipolis
2024 - 2024