Oluwarotimi A.

Key Skills

Software

Scale AI

Appen

SuperAnnotate

Top Subject Matter

Cloud/DevOps Professional Workflows

Conversational AI/Dialogue Generation

Audio/Visual/Text Multimodal Annotation

Top Data Types

Computer Code Programming

Text

Document

Video

Audio

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

RLHF

Computer Programming/Coding

Data Collection

Classification

Freelancer Overview

AI Training Contributor / Subject-Matter Expert (Project Horizon – Workflow Capture). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Delaware State University (2018) and Bachelor of Science, Lincoln University (2014). AI-training focus includes data types such as Video, Text, and Audio and labeling workflows including Data Collection and Classification.

Labeling Experience

AI Training Contributor / Data Annotator (Project Hedgehog – Multimodal Annotation)

AudioClassification

I completed detailed multimodal annotation tasks for Handshake AI’s Project Hedgehog, labeling audio, visual, and textual data. I applied comprehensive labeling rubrics and edge-case protocols to ensure high annotation accuracy and consistency across all data types. My contributions directly supported improved AI model reliability and performance across various input modalities. • Executed consistent annotation following provided rubrics and quality standards • Performed data labeling for audio, text, and visual content • Used internal labeling platforms and maintained process documentation • Proactively identified and addressed annotation edge cases and ambiguities

2025 - Present

Project Horizon - Expert Workflow Benchmarking

TextPrompt + Response Writing (SFT)Data Collection

Demonstrate how real professionals execute domain workflows and compare that output against AI model responses. Produce expert-level prompts, responses, and evaluations used to benchmark and fine-tune frontier AI models.

2025 - Present

Project Lexicon - Conversational AI Data Collection

VideoData Collection

Participated in Project Lexicon through Handshake AI, contributing on-camera conversational sessions used to train and improve AI language and speech models. Produced natural, high-quality dialogue data aligned with detailed task specifications and quality guidelines to support speech recognition, language understanding, and conversational model fine-tuning.

2025 - Present

Project Hedgehog - Multimodal AI Accuracy Improvement

TextEvaluation/Rating

Contributed to Project Hedgehog via Handshake AI, helping improve AI model accuracy across audio, visual, and text modalities. Tasks included evaluating and rating model outputs, performing quality-focused annotation and comparative analysis, and providing structured feedback to strengthen multimodal model performance. Work followed strict quality measures and detailed task rubrics.

2025 - 2025

Education

Work History