Ebuka O.

Key Skills

Software

Google Cloud Vertex AI

Toloka

OneForma

Remotasks

Other

LabelImg

Top Subject Matter

General AI/NLP

LLM Evaluation & Prompt Engineering

Consumer Devices/Product Imagery

Top Data Types

Text

Document

Computer Code Programming

Image

Top Task Types

Classification

Object Detection

Text Generation

Question Answering

Text Summarization

Bounding Box

Freelancer Overview

Freelance AI Data Contributor (Self-Directed Projects). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and LabelImg. Education includes Bachelor of Science, University of Lagos (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Search Relevance Evaluation Drill

OtherText

Studied search quality rater guidelines and evaluated over 100 query-result pairs for relevance and content quality. Assessed intent match and adherence to search evaluation criteria. Implemented a drill to practice consistent and accurate search relevance scoring. • Rated query-result sets for quality and consistency • Applied intent matching concepts to evaluation tasks • Focused on search engine and content retrieval quality • Gained practical experience with search data labeling

2025 - Present

Image Annotation Practice Set

LabelImgImageBounding Box

Labeled approximately 300 personal product and device photos for defects using bounding box and defect tag annotations. Employed open-source tools LabelImg and CVAT to facilitate precise labeling. Focused on identifying scratches, cracks, and discoloration. • Practiced accurate defect localization with bounding boxes • Utilized defect tags for detailed annotation • Managed a small-scale practice dataset of images • Gained experience with open-source labeling software

2025 - Present

Prompt Quality Rating Mini-Project

OtherText

Created over 200 prompts and rated paired LLM responses for helpfulness, accuracy, and safety based on RLHF guidelines. Developed and used a custom rubric for consistent evaluation. Focused on reasoning, summarization, and creative writing prompt types. • Assessed model response quality using structured criteria • Rated diverse prompt-response pairs independently • Documented rubric-driven evaluation outcomes • Drew inspiration from public RLHF methods

2025 - Present

Freelance AI Data Contributor (Self-Directed Projects)

OtherTextClassification

Practiced text classification, sentiment labeling, and prompt-response rating using public datasets and open AI tools. Built annotation workflows in Google Sheets and Python to monitor consistency, throughput, and disagreement rates. Evaluated search, ad, and content guidelines and performed sample annotation tasks. • Applied large-scale labeling methods to text-based data • Developed and iteratively improved self-annotation processes • Compared model outputs for quality and safety • Conducted self-directed prompt engineering experiments

2024 - Present

Education

Work History