Ridwan Adebayo

Key Skills

Software

Labelbox

Label Studio

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Video

Document

Top Label Types

RLHF

Classification

Freelancer Overview

I am an Electrical and Electronics Engineer with hands-on experience in AI model auditing, data labeling, and multimodal annotation across text, audio, and video. My background combines signal processing expertise with rigorous data verification, allowing me to benchmark large language models, audit synthetic audio/video for technical consistency, and maintain high accuracy in complex labeling environments. I am proficient with tools like Audacity, Adobe Premiere Pro, and Excel, and have managed end-to-end data pipelines for platforms reaching up to 90,000 monthly users. My work emphasizes logical troubleshooting, fact-checking, and clear documentation, consistently ensuring AI outputs meet professional standards in both STEM and multimedia domains.

Labeling Experience

Technical AI Data Specialist (Independent)

LabelboxAudioRLHF

As a Technical AI Data Specialist, I performed high-complexity labeling for agentic AI models. My work included reinforcement learning from human feedback (RLHF), multimodal annotation, and detailed logic auditing. I used specialized software tools to identify and label audio artifacts, visual inconsistencies, and logical errors. • Executed dense rubrics with consistent 98% quality scores. • Used Audacity and Premiere Pro for audio/visual artifact detection and annotation. • Labeled and audited model-generated reasoning traces for correctness. • Provided justifications highlighting technical deficiencies to engineering teams.

As a Technical AI Data Specialist, I performed high-complexity labeling for agentic AI models. My work included reinforcement learning from human feedback (RLHF), multimodal annotation, and detailed logic auditing. I used specialized software tools to identify and label audio artifacts, visual inconsistencies, and logical errors. • Executed dense rubrics with consistent 98% quality scores. • Used Audacity and Premiere Pro for audio/visual artifact detection and annotation. • Labeled and audited model-generated reasoning traces for correctness. • Provided justifications highlighting technical deficiencies to engineering teams.

2024

Multimedia Content Auditor

Label StudioVideoClassification

As Multimedia Content Auditor at FastNuggets.com, I managed data integrity and error classification at scale. I developed custom taxonomies to categorize data and performed rigorous source validation. I maintained high standards for digital asset accuracy and grammar consistency. • Verified factual, grammatical, and visual accuracy for a high-traffic platform. • Developed classification systems for diverse media types. • Ensured cross-referencing with primary technical sources. • Resolved and documented digital content anomalies efficiently.

As Multimedia Content Auditor at FastNuggets.com, I managed data integrity and error classification at scale. I developed custom taxonomies to categorize data and performed rigorous source validation. I maintained high standards for digital asset accuracy and grammar consistency. • Verified factual, grammatical, and visual accuracy for a high-traffic platform. • Developed classification systems for diverse media types. • Ensured cross-referencing with primary technical sources. • Resolved and documented digital content anomalies efficiently.

2023

Graduate Engineering Analyst

Scale AIDocumentClassification

As a Graduate Engineering Analyst, I scrubbed datasets and labeled technical documentation errors. I created guides that improved labeling consistency and minimized manual entry mistakes. My work supported engineering process reliability and enhanced data integrity for technical projects. • Labeled and reported anomalies in industrial datasets. • Documented procedures to standardize technical data entry. • Supported data cleaning and labeling for electrical engineering use cases. • Improved reliability in defect detection for engineering workflows.

As a Graduate Engineering Analyst, I scrubbed datasets and labeled technical documentation errors. I created guides that improved labeling consistency and minimized manual entry mistakes. My work supported engineering process reliability and enhanced data integrity for technical projects. • Labeled and reported anomalies in industrial datasets. • Documented procedures to standardize technical data entry. • Supported data cleaning and labeling for electrical engineering use cases. • Improved reliability in defect detection for engineering workflows.

2022 - 2024

Education

Work History