Nuhu L.

Key Skills

Software

Appen

Other

Labelbox

CVAT

Top Subject Matter

Hausa/English linguistic localization for NLP datasets.

Mathematics and educational QA/evaluation for AI content.

Geospatial

Top Data Types

Text

Audio

Geospatial Tiled Imagery

Top Task Types

Polyline

Transcription

Prompt + Response Writing (SFT)

Freelancer Overview

I am a highly analytical Full-Stack Software Developer and Geospatial (GIS) Specialist with over three years of combined experience in data validation, technical content auditing, and linguistic dataset creation. My background in AI training data includes working with platforms like Appen and Latinhire/Brainly, where I specialized in Reinforcement Learning from Human Feedback (RLHF), language transcription, and multi-turn prompt evaluation. I have a proven track record of reviewing complex logic frameworks, catching algorithmic hallucinations, and verifying datasets for semantic accuracy in both English and native Hausa. What sets me apart is my rare combination of software architecture and spatial analytics capabilities. Currently pursuing a Master’s degree in GIS, I am highly proficient in managing structural data using tools like QGIS, ArcGIS, and Excel, while my development background allows me to audit code environments using Google Antigravity, React, and secure Node.js backend schemas (including RBAC and race conditions). This diverse, high-judgment technical foundation allows me to deliver exceptional quality assurance for advanced AI models across software engineering, geography, and language localization tracks.

Labeling Experience

AI Dataset Contributor / Hausa Localization Specialist (Appen China)

AppenText

Contributed Hausa-localization text data for machine learning models by preparing and auditing translated materials between English and Hausa. Focused on improving downstream NLP performance through careful linguistic checking and discrepancy detection. Ensured labeling outputs reflected correct structure, meaning, and local usage for Hausa audiences.•Executed high-quality Hausa localization dataset work for ML training.•Annotated linguistic nuances, local slangs, and dialect variations.•Audited translated inputs to catch structural discrepancies between English and Hausa.•Performed quality review to maintain dataset consistency and correctness.

2023 - 2024

AI Content Expert & Mathematics Reviewer (Latinhire/Brainly)

OtherText

Reviewed and evaluated educational and mathematical content to ensure correctness, clarity, and adherence to expected reasoning steps. Performed quality assurance on educational datasets by identifying reasoning fallacies and logical hallucinations in candidate solutions. Work emphasized structured evaluation processes aligned with reinforcement learning from human feedback (RLHF) style review.•Evaluated and resolved mathematical logic problems for precision and clarity.•Conducted QA checks on educational datasets and reasoning outputs.•Fixed reasoning fallacies and reduced logical hallucination issues.•Reviewed step-by-step problem-solving scripts using RLHF-like standards.

2019 - 2024

Education

Work History