Hope O.

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

LabelImg

Label Studio

Micro1

Remotasks

Internal/Proprietary Tooling

Other

Top Subject Matter

Digital media content

moderation categories

and content recommendation training data

Top Data Types

Text

Image

Audio

Top Task Types

Classification

Object Detection

Text Generation

Question Answering

Text Summarization

Transcription

Data Collection

Evaluation/Rating

Freelancer Overview

Senior Data and Content Strategist (Data Annotation & Model Training), Opera News Nigeria (Sept 2018 – Dec 2025). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, University of Benin (2015). AI-training focus includes data types such as Text and labeling workflows including Classification and Data Collection.

Labeling Experience

Social Media Manager, The Net (July 2023 – Present)

OtherTextData Collection

Managed social media content strategy that involved collecting audience interaction data and compiling weekly performance reports. Translated editorial and promotional messaging into platform-specific formats while maintaining documentation of digital assets and campaign results. While not explicitly framed as AI labeling, the work included systematic capture and organization of content performance data used for optimization.• Collected and organized audience interaction data for reporting and insight generation.• Maintained editorial calendars and documentation for marketing campaigns.• Translated content into platform-specific formats with structured records of results.• Monitored real-time engagement and supported community management workflows.

2023 - Present

Content Labeling And AI Training Specialist

OtherTextClassification

Project Description: Served as a Data Labeling and AI Training Specialist for Opera News, a global media platform, to train and refine the platform's core content recommendation algorithms. The primary scope of the project involved the high-volume annotation and classification of digital media assets to optimize content discovery and maintain platform safety standards. Key Labeling Tasks Performed: Categorization & Classification: Executed precise text, keyword, and category labeling to organize diverse content streams. Content Moderation: Conducted strict policy-enforcement labeling, specifically identifying and tagging sexual or inappropriate content to train moderation filters. Data Lifecycle Tagging: Handled specialized evergreen labeling to distinguish timeless, long-term content from breaking news assets. Project Size & Quality Measures: Project Size: Worked on a global scale, labeling datasets used by millions of active users worldwide across the entire Opera News network. Quality Measures: Adhered strictly to a comprehensive, multi-step standard operating procedure (SOP) outlined in a shared master documentation. Consistently met and maintained a 95% accuracy rate threshold through rigorous quality assurance checks.

2020 - 2023

Education

Work History