For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
S

Samuel Adegbenjo

Data Labeling Fellow & Reviewer

USA flag
San Francisco, Usa
$25.00/hrEntry LevelInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

AI Language Models
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
AudioAudio
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

I currently serve as a Data Labeling Fellow and Reviewer at Handshake AI, where I conduct expert reviews for prompt development and model assessment. My daily work involves evaluating LLM outputs across text, audio, and visual tasks to ensure the reasoning is sharp and the accuracy is spot-on. I also dive deep into complex edge cases and partner with project leads to refine the very standards that keep our model training consistent and high-quality. What really sets me apart is that I pair this hands-on data expertise with a Master’s in Information Systems and over seven years of operational leadership experience. I’m not just labeling data; I’m a PMP-certified professional who knows how to scale operations and hit strict delivery targets without losing my composure. With my background in high-stakes security and IBM AI Fundamentals, I bring a level of rigor and technical judgment that ensures AI projects succeed at scale.

Entry LevelEnglish

Labeling Experience

Data Labeling Fellow & Reviewer

ImageBounding Box
As a Data Labeling Fellow & Reviewer at Handshake AI, I supported complex AI data and evaluation workflows by conducting research and expert review for prompt development and model assessment. I evaluated large language model (LLM) outputs for accuracy, reasoning quality, and depth across text, audio, and visual tasks. I provided structured feedback and escalations on edge cases to improve model understanding and quality. • Conducted evaluations of text, audio, and visual tasks for LLM outputs • Provided feedback to refine evaluation standards and annotation guidance • Partnered with leads to create quality criteria for Fellow workflows • Drove measurable improvements in AI model output consistency and quality

As a Data Labeling Fellow & Reviewer at Handshake AI, I supported complex AI data and evaluation workflows by conducting research and expert review for prompt development and model assessment. I evaluated large language model (LLM) outputs for accuracy, reasoning quality, and depth across text, audio, and visual tasks. I provided structured feedback and escalations on edge cases to improve model understanding and quality. • Conducted evaluations of text, audio, and visual tasks for LLM outputs • Provided feedback to refine evaluation standards and annotation guidance • Partnered with leads to create quality criteria for Fellow workflows • Drove measurable improvements in AI model output consistency and quality

2025 - Present

Education

U

University of Arkansas

Master of Science, Information Systems

Master of Science
2024 - 2025

Work History

P

PNC Bank

Senior Risk & Compliance Analyst

San Francisco
2022 - 2025
U

University of Arkansas

Data & Security Specialist

Fayetteville
2022 - 2024