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Oluwaseun Wuraola

Oluwaseun Wuraola

Engineering Program Analyst, AI Data Annotation Lead

United Kingdom flagPlymouth, United Kingdom
$35.00/hrExpertDataloopLabelboxLabel Studio

Key Skills

Software

DataloopDataloop
LabelboxLabelbox
Label StudioLabel Studio
Micro1
RemotasksRemotasks
Scale AIScale AI
Internal/Proprietary Tooling

Top Subject Matter

Financial Services
Human Resources Digitisation
AI Modalities: CV

Top Data Types

DocumentDocument
ImageImage
VideoVideo

Top Task Types

ClassificationClassification
SegmentationSegmentation
Object DetectionObject Detection
Text SummarizationText Summarization
Bounding BoxBounding Box
PolygonPolygon
Entity (NER) ClassificationEntity (NER) Classification
Data CollectionData Collection

Freelancer Overview

Engineering Program Analyst, AI Data Annotation Lead. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, N/A and Foundation Certificate, The Chartered Institute for IT. AI-training focus includes data types such as Document and Image and labeling workflows including Classification and Segmentation.

ExpertEnglish

Labeling Experience

Engineering Program Analyst, AI Data Annotation Lead

DocumentClassification
Owned end-to-end annotation operations for human-in-the-loop financial services and HR digitisation platforms. Developed and maintained golden sets for benchmarking annotator accuracy and conducted regular variance assessments. Coordinated with BPO vendors and led cross-functional annotation and QA teams to deliver high-accuracy datasets on schedule. • Designed Smartsheet dashboards for annotation workflow automation and visibility • Translated ML requirements into executable annotation workflows • Embedded labelling best practices through structured training and guidance • Conducted business reviews to resolve annotation challenges and ensure quality

Owned end-to-end annotation operations for human-in-the-loop financial services and HR digitisation platforms. Developed and maintained golden sets for benchmarking annotator accuracy and conducted regular variance assessments. Coordinated with BPO vendors and led cross-functional annotation and QA teams to deliver high-accuracy datasets on schedule. • Designed Smartsheet dashboards for annotation workflow automation and visibility • Translated ML requirements into executable annotation workflows • Embedded labelling best practices through structured training and guidance • Conducted business reviews to resolve annotation challenges and ensure quality

2023 - Present

Team Lead, AI Data Ops

ImageSegmentation
Spearheaded delivery of labelled datasets across computer vision, NLP, OCR, 3D segmentation, and large language model projects. Managed remote teams of annotators and QA analysts, leading to consistent high accuracy. Led golden set creation for benchmarking and conducted regular QA calibrations. • Facilitated edge case resolution for LiDAR, bounding box, segmentation, and facial recognition • Tracked throughput and productivity targets for distributed annotation teams • Created data-driven reports to inform annotation strategy • Proposed tooling improvements to increase annotator efficiency

Spearheaded delivery of labelled datasets across computer vision, NLP, OCR, 3D segmentation, and large language model projects. Managed remote teams of annotators and QA analysts, leading to consistent high accuracy. Led golden set creation for benchmarking and conducted regular QA calibrations. • Facilitated edge case resolution for LiDAR, bounding box, segmentation, and facial recognition • Tracked throughput and productivity targets for distributed annotation teams • Created data-driven reports to inform annotation strategy • Proposed tooling improvements to increase annotator efficiency

2020 - 2023

Quality Analyst, Data Labeling QA Lead

DocumentClassification
Led design and execution of quality assurance programs to enhance annotation accuracy and operational efficiency. Established defect tracking systems and set baseline QA metrics for annotation teams. Implemented individualized improvement plans, driving significant increases in overall labeling accuracy. • Designed comprehensive QA test plans and error tracking frameworks • Facilitated lessons-learned workshops for continuous improvement • Aligned annotation quality goals with project delivery outcomes • Reduced post-release annotation errors through early defect detection

Led design and execution of quality assurance programs to enhance annotation accuracy and operational efficiency. Established defect tracking systems and set baseline QA metrics for annotation teams. Implemented individualized improvement plans, driving significant increases in overall labeling accuracy. • Designed comprehensive QA test plans and error tracking frameworks • Facilitated lessons-learned workshops for continuous improvement • Aligned annotation quality goals with project delivery outcomes • Reduced post-release annotation errors through early defect detection

2019 - 2019

Education

N

N/A

Bachelor of Science, Economics and Education

Bachelor of Science
Not specified

Work History

A

AI Data Ops, Hugo Inc

Team Lead

Location not specified
2020 - 2023
H

Hugo Technologies

Quality Analyst

Location not specified
2019 - 2019