Victor Igbomezie

Key Skills

Software

Appen

Other

Top Subject Matter

Advertisement Moderation

Social Media

Virtual Reality

Top Data Types

Text

Video

Image

Audio

Top Task Types

Classification

Action Recognition

Transcription

Freelancer Overview

AI Data Analyst / Annotator (CrowdGen/Appen). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Other. Education includes Master of Public Health (Advanced), Torrens University Australia (2021) and Bachelor of Medicine, Bachelor of Surgery, Imo State University (2016). AI-training focus includes data types such as Text, Video, and Image and labeling workflows including Classification, Action Recognition, and Evaluation.

Labeling Experience

Transcription Editor & Data Quality Reviewer (Remoat Teams)

OtherAudioTranscription

As a Transcription Editor and Data Quality Reviewer at Remoat Teams, I reviewed and corrected AI-generated transcripts for audio and video datasets. I focused on refining speaker identification, ensuring proper timestamps, and improving contextual clarity in transcripts. My work directly contributed to the accuracy and formatting consistency of annotated speech data. • Edited transcripts to meet formatting and accuracy requirements. • Enhanced speaker identification and attribution in labeled datasets. • Corrected contextual errors for more reliable speech data annotation. • Conducted quality assurance checks on audio and video transcription outputs.

As a Transcription Editor and Data Quality Reviewer at Remoat Teams, I reviewed and corrected AI-generated transcripts for audio and video datasets. I focused on refining speaker identification, ensuring proper timestamps, and improving contextual clarity in transcripts. My work directly contributed to the accuracy and formatting consistency of annotated speech data. • Edited transcripts to meet formatting and accuracy requirements. • Enhanced speaker identification and attribution in labeled datasets. • Corrected contextual errors for more reliable speech data annotation. • Conducted quality assurance checks on audio and video transcription outputs.

2024 - 2025

AI-Generated Image Evaluator (Project Hibiscus, Appen)

AppenImage

On Project Hibiscus at Appen, I evaluated and compared AI-generated images to assess visual correctness and prompt adherence. This included identifying hallucinations, artifacts, facial defects, and body distortions within synthetic images. I ensured that visual outputs met criteria for anatomical and photorealistic accuracy. • Compared AI-generated images for alignment with textual prompts. • Flagged visual anomalies affecting realism and structural integrity. • Detected artifacts, hallucinations, and anatomical inconsistencies. • Contributed to the improvement of AI image generation models.

On Project Hibiscus at Appen, I evaluated and compared AI-generated images to assess visual correctness and prompt adherence. This included identifying hallucinations, artifacts, facial defects, and body distortions within synthetic images. I ensured that visual outputs met criteria for anatomical and photorealistic accuracy. • Compared AI-generated images for alignment with textual prompts. • Flagged visual anomalies affecting realism and structural integrity. • Detected artifacts, hallucinations, and anatomical inconsistencies. • Contributed to the improvement of AI image generation models.

2021 - 2025

Video/VR Data Annotator (Project Abellia, Appen)

AppenVideoAction Recognition

I was responsible for labeling and segmenting video and VR data to support in-game action recognition on Project Abellia for Appen. My work focused on capturing motion patterns and annotating scene transitions and temporal sequences. I adhered to instructions for identifying events and key actions for machine learning purposes. • Conducted video labeling for action recognition in gaming scenarios. • Segmented VR datasets with an emphasis on player motion and scene details. • Described temporal sequences and transitions within video footage. • Contributed to more accurate AI-driven analysis of in-game actions.

I was responsible for labeling and segmenting video and VR data to support in-game action recognition on Project Abellia for Appen. My work focused on capturing motion patterns and annotating scene transitions and temporal sequences. I adhered to instructions for identifying events and key actions for machine learning purposes. • Conducted video labeling for action recognition in gaming scenarios. • Segmented VR datasets with an emphasis on player motion and scene details. • Described temporal sequences and transitions within video footage. • Contributed to more accurate AI-driven analysis of in-game actions.

2021 - 2025

AI Data Analyst / Annotator (CrowdGen/Appen)

AppenTextClassification

As an AI Data Analyst/Annotator at CrowdGen/Appen, I contributed to projects that enhanced AI model understanding of text, image, and video content. My responsibilities included labeling text and visual elements to identify advertisements, branded content, and moderation-worthy material. I followed precise annotation guidelines and applied critical judgment for high-quality dataset delivery. • Classified Instagram ads for third-party promotions and branded content. • Reviewed Facebook ads for offensive or misleading material. • Labeled social media content in accordance with transparency and community guidelines. • Ensured data quality and annotation consistency across projects.

As an AI Data Analyst/Annotator at CrowdGen/Appen, I contributed to projects that enhanced AI model understanding of text, image, and video content. My responsibilities included labeling text and visual elements to identify advertisements, branded content, and moderation-worthy material. I followed precise annotation guidelines and applied critical judgment for high-quality dataset delivery. • Classified Instagram ads for third-party promotions and branded content. • Reviewed Facebook ads for offensive or misleading material. • Labeled social media content in accordance with transparency and community guidelines. • Ensured data quality and annotation consistency across projects.

2021 - 2025

Education

Work History