Marvellous Abayomi

Results-driven AI Data Annotator and Data Specialist with over 7 years of professional experience supporting artificial intelligence and machine learning initiatives through high-quality data annotation, labeling, validation, and quality assurance. Proven expertise in text, image, audio, video, and multimodal data annotation, Large Language Model (LLM) evaluation, prompt-response assessment, content moderation, and AI dataset preparation. Recognized for exceptional attention to detail, analytical thinking, and consistently achieving 99%+ quality metrics while delivering large-scale annotation projects on time for global AI and technology organizations.

Senior AI Data Annotator & Quality Specialist - Global AI & Machine Learning Projects

(2022-01)

• Annotate multilingual text, image, audio, and video datasets for AI model training.
• Evaluate AI-generated responses for relevance, factual accuracy, fluency, safety, and instruction adherence.
• Perform pairwise comparison tasks and ranking evaluations.
• Conduct quality audits to ensure annotation consistency and compliance with project guidelines.
• Annotated 5M+ data samples.
• Maintained 99.9% annotation accuracy.
• Exceeded productivity targets while maintaining exceptional quality.
• Improved LLM performance through high-quality human feedback.

AI Data Annotation & Machine Learning Specialist - International Artificial Intelligence Projects

(2020-01)

• Labeled structured and unstructured datasets for computer vision, NLP, and speech recognition.
• Annotated text, images, audio, and video.
• Validated datasets before model training.
• Collaborated with AI engineers and QA teams.
• Annotated 3.8M+ AI training records.
• Achieved 99.8% first-pass quality.
• Reduced review revisions by 35%.

AI Quality Assurance & Linguistic Data Reviewer - Global Data & Language Services

(2019-01 - 2022-12)

• Reviewed AI datasets for quality and consistency.
• Evaluated AI-generated content against project guidelines.
• Performed validation and quality scoring.
• Produced quality reports and improvement recommendations.
• Reviewed 15,000+ AI datasets.
• Maintained 99.7% quality compliance.

Freelance AI Data Annotator & Data Collection Specialist - Remote AI & Technology Clients

(2018-01 - 2019-12)

• Collected, organized, and annotated AI datasets.
• Performed text categorization, image labeling, metadata tagging, and sentiment analysis.
• Delivered annotation projects under strict deadlines.
• Completed 4,500+ annotation assignments.
• Maintained 99.6% project accuracy.

Master of Science (M.Sc.) - Artificial Intelligence - The University of Edinburgh

Bachelor of Science (B.Sc.) - Computer Science - The University of Manchester