Williams Nnodim

I am a detailed-oriented and reliable AI Data Annotator and Freelance AI Trainer with strong proficiency in English, Igbo and Pidgin English, basic web development (HTML, CSS, JavaScript), and solid skills in graphics design and video editing. I pay excellent attention to details, and have the ability to follow complex guideline consistently, and a passion for contributing to AI model improvement through accurate data labelling, text evaluation, and quality assurance. I am eager to apply my bilingual capabilities and technical foundation to support high-quality training data for large language model (LLMs), computer vision, and reasoning tasks.

I am a fast learner, self-motivated, and committed to delivering precise results in remote environments.

Freelance / Self-Directed AI Data Annotation & Visual Practice at Self-Initiated (2026-01-14 – Present)

• Practiced high-precision image labeling and segmentation using Photoshop techniques (masking, polygon tracing, color differentiation, and clean-up) to prepare sample datasets for computer vision tasks.
• Created and edited video clips with CapCut for practice in temporal annotation, object tracking, keyframe identification, and action labeling — building skills directly applicable to video data annotation projects.
• Labeled sample text, image, and multimodal datasets, focusing on accuracy, consistency, and guideline compliance to simulate real AI training workflows.
• Evaluated AI-generated visual and textual content for quality, relevance, and accuracy, including preference ranking and feedback simulation.

Graphic Design & Video Editing Projects at Self-Initiated (2026-01-14 – Present)

• Designed and edited graphics, social media visuals, and marketing materials using Adobe Photoshop, requiring meticulous attention to detail, layer management, and precise selections — skills that translate directly to image annotation and segmentation tasks.
• Produced and edited short-form and explanatory videos with CapCut, handling timelines, effects, captions, and transitions — developing strong capabilities in video structure analysis and object/action identification for annotation.
• Applied design principles and algebraic reasoning in layout calculations, proportions, and timing adjustments to ensure professional, error-free outputs.

Web Development Projects at Self-Initiated (2026-01-14 – Present)

• Built responsive web interfaces using HTML, CSS, and JavaScript, emphasizing structured data organization and visual precision — useful for UI element annotation and web-related labeling tasks.

Bachelor's Degree in Electrical And Electronics Engineering – Micheal Okpara University Of Agriculture Umudike (2025)