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O
Oganla Ismail

Oganla Ismail

Data Annotation and AI Training (Freelance)

Nigeria flagRemote, Nigeria
$10.00/hrExpertSuperannotateLabelboxAppen

Key Skills

Software

SuperAnnotateSuperAnnotate
LabelboxLabelbox
AppenAppen
CVATCVAT
TagtogTagtog
Kili TechnologyKili Technology

Top Subject Matter

Complex Document parsing and PDF structure analysis
Data Quality assurance and labeling pipelines
Bounding box annotation and Entity classification

Top Data Types

DocumentDocument
TextText
ImageImage

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
RLHFRLHF
TranscriptionTranscription
Data CollectionData Collection

Freelancer Overview

Data Annotation and AI Training (Freelance). Brings 5+ years of professional experience in Data annotation and AI training specialist with a background in software development, structured data systems, and technical operations. Experienced in parsing complex documents, building data pipelines, and maintaining accuracy at scale. Comfortable working independently in remote teams and following detailed annotation guidelines across different document types. Annotation and Data: Document layout analysis, bounding box annotation, entity classification, text extraction, key-value identification, reading order interpretation, PDF structure analysis, data labeling, quality assurance

ExpertEnglish

Labeling Experience

Data Annotation and AI Training (Freelance)

DocumentClassification
Designed structured data annotation systems meeting high accuracy standards. Built and maintained datasets labeled with trait classification, attribute tagging, and visual quality review for over 3,000 items. Parsed smart contract ABIs, API specs, and technical documentation into annotation-ready formats. • Maintained annotation accuracy above 95%. • Developed and conducted quality control pipelines for label validation. • Applied structured labeling protocols to various document types. • Ensured compliance with detailed annotation guidelines across remote teams.

Designed structured data annotation systems meeting high accuracy standards. Built and maintained datasets labeled with trait classification, attribute tagging, and visual quality review for over 3,000 items. Parsed smart contract ABIs, API specs, and technical documentation into annotation-ready formats. • Maintained annotation accuracy above 95%. • Developed and conducted quality control pipelines for label validation. • Applied structured labeling protocols to various document types. • Ensured compliance with detailed annotation guidelines across remote teams.

2024 - Present

Data labelling

DocumentRLHF
A company training their AI model (signed an NDA cant give more info than that)

A company training their AI model (signed an NDA cant give more info than that)

2023 - 2024

Education

U

University Of Abuja

Bachelor of Engineering, Mechanical Engineering

Bachelor of Engineering
2018 - 2023

Work History

W

Web3 Projects

Data Operations and Community Manager

Remote
2024 - Present
I

Independent

Full Stack Developer

Remote
2023 - Present