Jeddy Uzodinma

Key Skills

Software

Remotasks

Appen

Telus

Top Subject Matter

Data Analyst & Data Annotation

General/Computer Vision

General/multi-domain Domain Expertise

Top Data Types

Text

Video

Image

Document

Top Task Types

Segmentation

Classification

Bounding Box

Text Generation

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Data Science and Analytics Professional with 5 years of hands-on experience in data evaluation, analysis, labelling, and annotation for AI and machine learning applications. Proven expertise in delivering high-quality datasets, evaluating web content, and supporting data-driven decision-making. Strong background in data annotation pipelines, quality assurance, and structured data handling, with technical skills in Python, SQL, Java and JSON. Education includes Bachelor of Science, Edge Hill University (2021) and Master of Science, Edge Hill University (2021). AI-training focus includes data types such as Text, Video, and Image and labeling workflows including Translation, Localization, and Segmentation.

Labeling Experience

AI Medical Translator & Search Relevance Analyst

RemotasksText

Reviewed and annotated medical content to enhance AI language models for healthcare applications. Ensured high quality and consistency in annotated documents, following strict medical guidelines. Conducted quality assurance on AI-generated outputs to improve system performance. • Translated complex medical documents for machine learning. • Evaluated and classified web search results related to medical queries. • Performed annotation guideline refinement in collaboration with cross-functional teams. • Focused on improving AI healthcare datasets through structured labeling.

Reviewed and annotated medical content to enhance AI language models for healthcare applications. Ensured high quality and consistency in annotated documents, following strict medical guidelines. Conducted quality assurance on AI-generated outputs to improve system performance. • Translated complex medical documents for machine learning. • Evaluated and classified web search results related to medical queries. • Performed annotation guideline refinement in collaboration with cross-functional teams. • Focused on improving AI healthcare datasets through structured labeling.

2023 - Present

Web Search Evaluator

AppenVideoSegmentation

Performed data labeling and video annotation to develop AI and computer vision training datasets. Managed and validated annotation files to meet specifications using Java-based tools. Maintained output quality while handling large data volumes under tight deadlines. • Evaluated search relevance for search engines. • Annotated videos for object and scene detection. • Utilized Java-supported annotation platforms for data processing. • Ensured high-quality and validated JSON annotation output.

Performed data labeling and video annotation to develop AI and computer vision training datasets. Managed and validated annotation files to meet specifications using Java-based tools. Maintained output quality while handling large data volumes under tight deadlines. • Evaluated search relevance for search engines. • Annotated videos for object and scene detection. • Utilized Java-supported annotation platforms for data processing. • Ensured high-quality and validated JSON annotation output.

2020 - 2023

Data Analyst & Image/Video Annotator

TelusImageClassification

Annotated large-scale image and video datasets to train machine learning models for various business and operational improvements. Validated dataset structures and labeling rules using Java-based and proprietary tools. Delivered high-quality labeled data within project timelines and quality standards. • Analyzed both structured and unstructured image and video datasets. • Ensured accuracy and consistency in labeled ML training data. • Managed and reviewed annotated data using internal systems. • Collaborated with teams to ensure data quality compliance.

Annotated large-scale image and video datasets to train machine learning models for various business and operational improvements. Validated dataset structures and labeling rules using Java-based and proprietary tools. Delivered high-quality labeled data within project timelines and quality standards. • Analyzed both structured and unstructured image and video datasets. • Ensured accuracy and consistency in labeled ML training data. • Managed and reviewed annotated data using internal systems. • Collaborated with teams to ensure data quality compliance.

2019 - 2020

Education

Work History