Chukwuebuka O.

Key Skills

Software

Other

Label Studio

Doccano

Roboflow

Top Subject Matter

Frontend development education (React/Next.js/TypeScript ecosystem)

Artificial Intelligence

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

Prompt + Response Writing (SFT)

RLHF

Freelancer Overview

Lead Coding Tutor (AI-training-adjacent quality review of code submissions). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, National Open University of Nigeria (2026) and Software Engineering Programme, ALX Africa (2024). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Self-Directed AI & Machine Learning Literacy (labeling workflow learning)

OtherTextRLHF

Engaged in self-directed study of data labeling workflows and AI training pipeline fundamentals with an emphasis on annotation types used in NLP. Learned RLHF (Reinforcement Learning from Human Feedback) concepts as part of understanding preference-based training signals. Built familiarity with token-level classification and sentiment analysis concepts relevant to text labeling. • Studied labeling workflows and pipeline fundamentals • Learned RLHF and preference training concepts • Reviewed token classification and NLP annotation approaches • Explored sentiment analysis and related annotation tasks

2024 - Present

Freelance Frontend Developer using AI-assisted tools (prompt/workflow quality relevance)

OtherTextPrompt + Response Writing (SFT)

Delivered client projects requiring precise requirement interpretation and structured execution, supporting prompt/workflow-oriented quality control habits. Worked with AI-assisted development tools to observe output quality and recurring failure patterns. Applied meticulous attention to briefs to maintain correctness and consistency in AI-assisted outputs. • Interpreted requirements and translated them into structured work • Observed AI output quality and failure patterns • Ensured alignment with detailed client briefs • Maintained high satisfaction through accuracy-focused iteration

2023 - Present

Lead Coding Tutor (AI-training-adjacent quality review of code submissions)

Other

Provided structured quality evaluation for large volumes of learner code submissions, mirroring AI training quality review and annotation guideline compliance. Developed rubrics that translate criteria into consistent scoring and feedback cycles. Communicated precise expectations through curriculum materials and mentorship to improve accuracy and consistency. • Reviewed and evaluated code submissions at scale • Created structured grading rubrics aligned to guidelines • Mentored 30+ students on feedback and documentation • Authored curriculum language supporting prompt/annotation precision

2022 - 2023

Education

Work History