Available to hire
Hi, I’m Glory. I’m a Prompt Engineer and Data Annotation Specialist with 3+ years of experience collaborating with global AI leaders including Appen, Stellar, and Telus International. I’m proficient in prompt engineering, NLP, and multimodal data annotation, with a track record of 98%+ QA scores and annotating 30K+ datasets. I’m committed to delivering ethical, user-aligned AI systems and optimizing workflows for generative AI projects. I enjoy fact-checking, hallucination detection, and instruction tuning to improve model accuracy, and I’m passionate about building robust, trustworthy AI solutions.
Experience Level
Expert
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Language
English
Advanced
Work Experience
AI Data Annotation Specialist at RWS
September 1, 2025 - November 7, 2025Annotated and validated 2000+ multimodal data sets (text, image, audio, video) for advanced AI model training. Achieved 98%+ accuracy in quality reviews across multiple annotation tasks. Collaborated with a global team of 50+ annotators to streamline workflows, reducing turnaround time by 15%. Assisted in instruction tuning and LLM evaluation, contributing to bias reduction and performance improvements in generative AI systems.
AI Data Specialist at Micro AI
April 1, 2025 - November 7, 2025Designed and optimized 500+ prompts for summarization, classification, and extraction tasks, increasing LLM accuracy by 22%. Evaluated 2,000+ AI-generated outputs for tone, relevance, and hallucination, reducing invalid completions by 30%. Created reusable prompt templates, reducing prompt creation time by 40%. Collaborated with cross-functional teams to improve annotation workflows and efficiency. Conducted quality assurance checks, achieving 98% dataset accuracy.
AI Content Reviewer & Annotator at Telus International
February 1, 2025 - February 1, 2025Reviewed and tagged 10,000+ AI outputs for classification, QA, and sentiment analysis. Detected and corrected 1,200+ biased or hallucinatory outputs, improving dataset reliability. Delivered structured feedback reports that contributed to refining evaluation protocols.
AI Data Contributor at Appen
December 1, 2023 - December 1, 2023Labeled and validated 20,000+ datasets (text, image, audio) across NLP and vision projects. Supported prompt tuning and evaluation, reducing annotation errors by 17%. Consistently achieved top-tier performance ratings for accuracy and speed.
Education
B.Sc. at Nnamdi Azikiwe University, Awka, Nigeria
January 1, 2020 - January 1, 2024Qualifications
Google Data Analytics
January 11, 2030 - November 7, 2025Google Project Management
January 11, 2030 - November 7, 2025IBM AI Engineering Professional Certificate
January 11, 2030 - November 7, 2025DeepLearning.AI Prompt Engineering for ChatGPT
January 11, 2030 - November 7, 2025Microsoft Certified: Azure AI Fundamentals
January 11, 2030 - November 7, 2025Industry Experience
Software & Internet, Media & Entertainment, Professional Services, Education
Experience Level
Expert
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