Samuel Ukwueze

Key Skills

Software

CrowdSource

Data Annotation Tech

Google Cloud Vertex AI

Img Lab

Labelbox

Label Studio

Mercor

Mindrift

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Task Types

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Red Teaming

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

I have over six years of experience specializing in data annotation, labeling, and AI training data, particularly at the intersection of artificial intelligence and biological sciences. My background includes hands-on expertise in auditing and annotating multimodal datasets (audio, video, and text), developing automated annotation workflows, and fine-tuning AI models for applications in biomedical, genomic, and environmental domains. I am highly skilled in using Python, TensorFlow, PyTorch, and various data management tools to ensure data integrity and optimize machine learning pipelines. My work has contributed to projects ranging from medical data interpretation and healthcare analytics to computer vision for species identification and environmental modeling. I am passionate about leveraging my technical and domain knowledge to deliver high-quality training data that drives innovation in AI and scientific research.

Labeling Experience

AI Data Specialist

CrowdsourceTextText SummarizationTranslation Localization

Data and AI training specialist with over six years of experience in developing, curating, and optimizing datasets for large language models (LLMs) and advanced machine learning systems. Expertise includes fine-tuning multilingual models, annotating biomedical and technical datasets, and enhancing natural language processing and transcription accuracy. Project scope spans end-to-end dataset lifecycle management—from data labeling and quality assurance to model evaluation and alignment with ethical AI standards. Background in biology and computational data science supports the integration of domain-specific knowledge with AI-driven innovation for research, healthcare, and enterprise applications.

Data and AI training specialist with over six years of experience in developing, curating, and optimizing datasets for large language models (LLMs) and advanced machine learning systems. Expertise includes fine-tuning multilingual models, annotating biomedical and technical datasets, and enhancing natural language processing and transcription accuracy. Project scope spans end-to-end dataset lifecycle management—from data labeling and quality assurance to model evaluation and alignment with ethical AI standards. Background in biology and computational data science supports the integration of domain-specific knowledge with AI-driven innovation for research, healthcare, and enterprise applications.

2021

Education

Work History