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Daniel Stephen

Daniel Stephen

AI-Powered Design Specialist - Architecture & AI

NIGERIA flag
Lagos, Nigeria
$50.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
VideoVideo

Top Label Types

Bounding Box
Classification
Segmentation
Prompt Response Writing SFT

Freelancer Overview

I am a design technologist with 6 years of experience integrating AI and generative tools into architecture and visualization workflows. My expertise includes prompt engineering, data annotation, and creating structured inputs for generative AI models to accelerate concept development and produce high-quality training data for visual AI systems. I have a strong background in 3D visualization using SketchUp, V-Ray, and Revit, and am skilled at preparing technical documentation and optimizing data pipelines for scene and asset generation. My work often involves collaborating with cross-functional teams to transform complex requirements into well-labeled, production-ready datasets, supporting computer vision and image synthesis projects. I am adept at using LLM APIs, version control with Git, and developing automation systems that improve data consistency and workflow efficiency.

IntermediateEnglish

Labeling Experience

AI-Assisted Visual Data Annotation & Prompt Evaluation Specialist

OtherVideoBounding BoxSegmentation
Developed and executed AI-assisted visual data annotation workflows across image and video datasets, supporting generative AI model training pipelines. Tasks included classifying architectural and spatial imagery, evaluating LLM-generated visual outputs for accuracy and coherence, and applying structured prompt engineering to guide and assess AI-generated assets. Maintained high annotation consistency across large-volume batches, resolved edge cases independently, and documented labeling decisions to support pipeline reproducibility. Projects spanned the architecture, spatial design, and generative AI industries, with deliverables managed remotely across US time zones.

Developed and executed AI-assisted visual data annotation workflows across image and video datasets, supporting generative AI model training pipelines. Tasks included classifying architectural and spatial imagery, evaluating LLM-generated visual outputs for accuracy and coherence, and applying structured prompt engineering to guide and assess AI-generated assets. Maintained high annotation consistency across large-volume batches, resolved edge cases independently, and documented labeling decisions to support pipeline reproducibility. Projects spanned the architecture, spatial design, and generative AI industries, with deliverables managed remotely across US time zones.

2022

AI-Powered Design & Data Annotation Specialist (Freelance)

OtherImageBounding BoxClassification
As an AI-Powered Design & Data Annotation Specialist, I annotated and quality-checked large image and video datasets to support AI model training pipelines. I developed structured prompt engineering workflows for generative AI tools, directly contributing to RLHF and AI evaluation tasks. I built reproducible AI-assisted automation pipelines and prepared detailed process documentation to communicate project progress and annotation decisions. • Labeled image and video data using consistent standards, resolving edge cases independently. • Evaluated and iterated AI-generated outputs for accuracy, coherence, and project alignment. • Created and managed structured automation workflows for data labeling at scale. • Reported annotation quality and project outcomes to clients across multiple projects.

As an AI-Powered Design & Data Annotation Specialist, I annotated and quality-checked large image and video datasets to support AI model training pipelines. I developed structured prompt engineering workflows for generative AI tools, directly contributing to RLHF and AI evaluation tasks. I built reproducible AI-assisted automation pipelines and prepared detailed process documentation to communicate project progress and annotation decisions. • Labeled image and video data using consistent standards, resolving edge cases independently. • Evaluated and iterated AI-generated outputs for accuracy, coherence, and project alignment. • Created and managed structured automation workflows for data labeling at scale. • Reported annotation quality and project outcomes to clients across multiple projects.

2022

Education

U

University of Lagos

Master of Science, Architecture

Master of Science
2022 - 2024
S

Stanford Online

Professional Certificate, Prompt Engineering and Artificial Intelligence Applications

Professional Certificate
2023 - 2023

Work History

F

Freelance

AI-Powered Design & Data Annotation Specialist

Remote
2022 - Present
F

Freelance

AI-Powered Design Specialist & Visualization Consultant

Remote
2021 - Present