Adegoke Y.

Key Skills

Software

Other

Top Subject Matter

AI development for Meta AI (prompting and image recognition)

AI training and evaluation (Outlier AI)

AI development and data contribution (Handshake AI)

Top Data Types

Image

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Data Collection

Freelancer Overview

Meta AI — Prompt Generation & Image Recognition (team contribution). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes National Diploma, Westland Polytechnic (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Outlier AI (Ongoing AI training data/evaluation)

OtherText

Actively contributes to Outlier AI as an AI training data contributor. The role includes providing AI training data, conducting evaluation, and delivering feedback to support iterative model improvement. The contribution is ongoing and centered on assessment and quality improvement of AI outputs. • Provide AI training data for model development • Perform evaluation of AI responses • Deliver feedback for model improvement • Ongoing participation in training workflow

2026 - Present

Handshake AI — AI development & data contribution

OtherTextData Collection

Participated in AI development and data contribution tasks for Handshake AI. The contribution focused on supporting data needs for AI system training and improvement. Work centered on providing or organizing AI-relevant data for development. • AI development support for Handshake AI • Contribute AI training/data tasks • Assist with data contribution and preparation • Support model improvement objectives

2026

Meta AI — Prompt Generation & Image Recognition (team contribution)

ImagePrompt + Response Writing (SFT)

Contributed to Meta AI prompt generation and supported image recognition pipeline development as part of an AI product team. The work involved creating or improving prompt/response pairs to guide model behavior and evaluation. Responsibilities focused on dataset-related contributions and feedback loops to improve downstream model performance. • Prompt generation for Meta AI • Image recognition pipeline support • Model improvement via training-data-style contributions • Team-based evaluation and feedback

2025

Education

Work History