Jude S.

Key Skills

Software

Don't disclose

CVAT

Top Subject Matter

AI-generated English content quality

Safety Domain Expertise

Factuality Domain Expertise

Top Data Types

Text

Audio

Image

Top Task Types

Object Detection

Data Collection

Bounding Box

Classification

RLHF

Freelancer Overview

AI Data Specialist — Independent Contractor (Remote) (AI response evaluation, ranking, and guideline-driven labeling). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and CVAT. Education includes Master of Science, University of Ibadan (2019) and Bachelor of Science, University of Lagos (2019). AI-training focus includes data types such as Text, Audio, and Computer Code and labeling workflows including Evaluation, Rating, and Object Detection.

Labeling Experience

AI Data Specialist — Independent Contractor (Remote) (AI response evaluation, ranking, and guideline-driven labeling)

Don't discloseText

Evaluated and ranked over 18,000 English AI responses using pairwise comparison and rubric-based grading. Graded outputs to improve factuality, safety, and overall quality across successive model iterations. Maintained consistent batch quality while meeting project SLAs. • Performed response preference evaluation for RLHF-style selection quality • Used rubric checks to rate model outputs • Tracked acceptance rates and throughput against SLAs • Authored and refined annotation guidelines to reduce ambiguity and disputes

2023 - Present

Data Annotation & QA Analyst — Veridex Data Solutions

CVATImageBounding BoxClassification

No description provided.

2021 - 2023

Data Annotation & QA Analyst — Veridex Data Solutions (Multimodal annotation and labeling QA)

Don't discloseAudioObject Detection

Labeled and tagged multimodal datasets including audio, image, and video for downstream computer-vision and speech models. Completed object-tagging and bounding-box style annotations on 25,000+ assets to support model training. Led QA reviews to identify and correct labeling errors and improve dataset accuracy. • Performed object-tagging and bounding-box annotation tasks • Conducted quality-assurance review across three annotation projects • Mentored junior annotators and standardized labeling output quality • Improved final dataset accuracy from 91% to 99%

2021 - 2023

Data Collection & Research Assistant — BrightPath Analytics (Data cleaning automation and content quality review)

Don't discloseData Collection

Automated repetitive data-cleaning and dataset-preparation steps using reusable Python and SQL routines. Reviewed written content for clarity, grammar, and factual accuracy against native-English quality standards prior to delivery. Supported dataset validation and structuring for downstream use in AI/data workflows. • Built Python/SQL scripts for cleaning and preparation • Conducted content review for quality and factuality • Ensured datasets met native-English standards • Improved dataset preparation speed by approximately 35%

2019 - 2021

Education

Work History