John O.

Key Skills

Software

Other

Top Subject Matter

AI training data quality assurance and annotation review

Remote image/video data capture for AI training

General AI content evaluation and dataset validation

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Freelancer Overview

Freelance AI/Data Annotation & QA Contributor (Remote). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Science, University of Abuja. AI-training focus includes data types such as Document, Image, and Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Online AI Project Worker (Outlier, Aether, etc.) (Remote)

OtherText

Performed remote generalist AI tasks as an online project worker, including evaluating and categorizing content for dataset preparation and validation. Adapted quickly to different annotation tools and workflows used by multiple platforms. Consistently met deadlines while maintaining quality output for assigned AI data tasks. • Completed content evaluation tasks • Performed categorization and validation • Adapted to multiple annotation tools/workflows • Delivered timely outputs with quality control

2025 - Present

Atlas/Capture Data Contributor (Remote AI Projects)

OtherImageData Collection

Contributed to remote Atlas/Capture-based AI data collection by capturing image and video data according to project-specific requirements. Ensured correct capture conditions such as framing and lighting while adhering strictly to capture guidelines. Verified and refined captured data before submission to meet QA standards for downstream model training. • Collected image and video data per requirements • Ensured framing, lighting, and guideline compliance • Verified and refined captured data prior to QA submission • Supported dataset readiness for AI training workflows

2025 - Present

Freelance AI/Data Annotation & QA Contributor (Remote)

OtherDocument

Worked as a remote freelance AI/data annotation and QA contributor by reviewing and validating annotated datasets against project guidelines. Focused on detecting labeling inconsistencies, ensuring accuracy and completeness, and improving dataset quality through corrective feedback. Maintained consistent high-accuracy outputs across multiple AI training projects. • Reviewed annotated datasets for guideline compliance and completeness • Identified labeling inconsistencies and proposed corrections • Delivered clear, actionable feedback to improve training data • Performed dataset validation as part of the QA workflow

2025 - Present

Education

Work History