Isaiah J.

Key Skills

Software

Other

Scale AI

Labelbox

Top Subject Matter

Large Language Model (LLM) basics and prompt/use-case understanding

Software testing and structured evaluation artifacts

UI/UX wireframing and structured test-case evaluation

Top Data Types

Document

Text

Video

Top Task Types

Prompt + Response Writing (SFT)

Question Answering

Text Summarization

Segmentation

Classification

Freelancer Overview

LLM Basics (foundational learning) — Coursework/Learning. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and Other. Education includes Bachelor of Engineering, University of Uyo (2021). AI-training focus includes data types such as Computer Code, Programming, and Document and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Software Tester (Freelance/Volunteer) — Remote

OtherDocument

The candidate performed remote software and mobile application testing to identify functional, UI, and usability issues. They authored structured bug reports including steps to reproduce, screenshots, and severity levels to support systematic evaluation. They also re-tested fixes and performed basic regression checks to validate outcomes. • Identified UI/functional/usability defects • Documented bugs with repro steps, screenshots, and severity • Retested fixes and ran basic regression testing • Provided feedback to improve product quality and UX

2024 - Present

LLM Basics (foundational learning) — Coursework/Learning

Prompt + Response Writing (SFT)

The candidate completed a foundation course on Large Language Model (LLM) basics, focusing on core concepts and practical use cases. This learning aligns with understanding how AI models respond to prompts and how training concepts apply to model behavior. The work appears educational rather than production labeling, but supports AI tutoring/training readiness. • Covered foundational LLM concepts • Reviewed use cases for LLMs • Learned practical application patterns • Built baseline understanding of prompt-driven behavior

2021 - Present

UI/UX Assistant — Remote/Personal Projects

Document

The candidate assisted with basic UI/UX tasks including creating wireframes and simple design layouts for personal/team-guided projects. They executed 50+ test cases across three projects and identified 7+ critical UI bugs. The activity reflects structured evaluation and quality checking of interface elements. • Created wireframes and simple design layouts • Executed 50+ UI test cases across projects • Identified 7+ critical UI bugs • Collaborated on minor UI/UX tasks under guidance

2025 - 2025

Education

Work History