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Chiamaka Uchenna

Frontend Developer Specialist (Structured Data Labeling for AI Frontend Applications)

NIGERIA flag
Lagos, Nigeria
$100.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

Frontend Web UI for AI Applications
Finance
E-commerce

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

Fine Tuning
Question Answering
Text Summarization
Text Generation
Evaluation Rating
Computer Programming Coding
Prompt Response Writing SFT

Freelancer Overview

Frontend Developer Specialist (Structured Data Labeling for AI Frontend Applications). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Madonna University (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning.

IntermediateEnglish

Labeling Experience

Frontend Developer Specialist (Structured Data Labeling for AI Frontend Applications)

Fine Tuning
Labeled structured data for AI-powered frontend web applications to improve model accuracy and user interaction. Utilized AI-assisted tools and internal workflows to generate, review, and annotate computer code and UI labels. Worked collaboratively in a remote team environment to refine training data used for AI models relating to web UI and user input handling. • Improved frontend AI model accuracy through structured labeling of sample code and UI interactions • Ensured quality and consistency of annotations via structured review cycles • Leveraged proprietary internal tools and widely adopted AI-assisted development solutions • Focused on compositional user interface segmentation and interaction flow.

Labeled structured data for AI-powered frontend web applications to improve model accuracy and user interaction. Utilized AI-assisted tools and internal workflows to generate, review, and annotate computer code and UI labels. Worked collaboratively in a remote team environment to refine training data used for AI models relating to web UI and user input handling. • Improved frontend AI model accuracy through structured labeling of sample code and UI interactions • Ensured quality and consistency of annotations via structured review cycles • Leveraged proprietary internal tools and widely adopted AI-assisted development solutions • Focused on compositional user interface segmentation and interaction flow.

2025 - Present

Education

M

Madonna University

Bachelor of Science, Economics

Bachelor of Science
2020 - 2020

Work History

I

Invisible Technologies

Frontend Developer Specialist

Remote
2025 - Present
V

VisiBuy

React Frontend Developer

Remote
2025 - 2025