Akinwale S.

Key Skills

Software

Clickworker

CrowdSource

Img Lab

LightTag

Deep Systems

Top Subject Matter

Computer Vision

Graphics Domain Expertise

Visual Quality Assurance

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

RLHF

Freelancer Overview

ICT & Graphics Specialist (Data Labeling and Annotation). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Stable Diffusion. Education includes Senior Secondary Certificate Examination, Divine Favour Schools (2022). AI-training focus includes data types such as Image and labeling workflows including Segmentation and RLHF.

Labeling Experience

Marketing & Operations Manager (AI Training/Labeling)

ImageRLHF

I pioneered the use of AI-driven generation tools to produce and refine over 100 high-fidelity 3D digital assets with continuous reinforcement learning feedback. My tasks included ongoing tagging and analysis of marketing image datasets, optimizing dataset utility through tailored demographic labeling. Additionally, I performed quality control on generative output to maintain high standards for machine learning models. • Used Stable Diffusion, Midjourney, and internal platforms for AI training workflows. • Applied iterative prompt engineering for model fine-tuning. • Analyzed region-specific labels to enhance targeted marketing effort. • Delivered direct, actionable reinforcement learning signals to improve generation fidelity.

2025 - Present

ICT & Graphics Specialist (Data Labeling and Annotation)

ImageSegmentation

I led the execution of high-precision visual data tasks, focusing on semantic segmentation and pixel-level enhancements for computer vision applications. My responsibilities included applying advanced annotation techniques, performing quality assurance, and categorizing large digital image libraries to support AI model development. Through rigorous auditing and adherence to technical standards, I ensured data integrity and optimal input for machine learning workflows. • Expert use of polygon mapping, bounding box, and segmentation methods. • Conducted detailed audits to eliminate annotation errors and artifacts. • Managed systematic metadata tagging for improved data organization. • Utilized CorelDraw and Photoshop within proprietary/internal data labeling platforms.

2023 - 2023

Graphics Design Associate (AI Model Data Preparation)

ImageSegmentation

I developed complex vector graphics and applied advanced annotation knowledge critical for high-level semantic segmentation. As Lead Reviewer, I was responsible for identifying subtle inconsistencies and artifacts in digital assets prior to their use in AI model training. My role bridged visual design with technical data annotation, translating abstract requirements into actionable labeling output. • Focused on object recognition and edge detection for improved dataset accuracy. • Oversaw compliance with strict composition guidelines for training data. • Provided detailed visual analysis for clear, machine-readable results. • Utilized CorelDraw and Photoshop to support precise segmentation taskflows.

2022 - 2022

Education

Work History