Aboyi J.

Key Skills

Software

Labelbox

Other

Top Subject Matter

Hausa language and multimodal AI training datasets

Hausa language content evaluation and translation localization

Computational linguistics and NLP dataset creation (Hausa)

Top Data Types

Text

Image

Top Task Types

Entity (NER) Classification

Freelancer Overview

Freelance AI Data Annotator (Remote) — data annotation and evaluation. Core strengths include Labelbox and Other. Education includes Bachelor of Arts, University of Lagos (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Translation.

Labeling Experience

Freelance AI Data Annotator (Remote) — data annotation and evaluation

LabelboxText

Annotated Hausa-related multimodal dataset content to support AI model accuracy improvements. Performed pairwise comparisons and ranked AI-generated content based on quality criteria. Reviewed annotations for consistency, accuracy, and cultural relevance in Hausa. • Multimodal data annotation (text, audio, image) for training • Pairwise comparison and content ranking • Quality assurance checks for consistency and accuracy • Cultural relevance review for Hausa language content

2023 - Present

Hausa Language Content Reviewer (Freelance, Remote)

OtherText

Reviewed AI-generated Hausa text for linguistic accuracy, grammar, and cultural appropriateness. Corrected and validated translations between English and Hausa in both directions. Delivered structured feedback aimed at improving AI model performance and output relevance. • Linguistic accuracy and grammar review for Hausa • Cultural appropriateness validation • English-to-Hausa and Hausa-to-English translation correction • Structured feedback to improve model outputs

2023 - 2024

Research Assistant — Linguistics & AI Data Project

OtherTextEntity (NER) Classification

Created and preprocessed Hausa-language datasets for natural language processing research. Annotated and categorized text data to train machine learning models and supported dataset labeling workflows. Conducted quality checks and maintained documentation to ensure reliable training data. • Text dataset annotation and categorization for ML training • Quality checks on labeled data • Documentation of labeling and preprocessing steps • Collaboration with linguists and computer scientists on dataset prep

2021 - 2023

Education

Work History