Reily Kei Esguerra

Hi! I’m Reily Kei Esguerra, and I specialize in AI data support, content validation, and annotation tasks. I’ve spent the past 6+ years working with global companies like CloudFactory, Appen, Innodata, and MCRI Global, contributing to various AI and machine learning projects across image, audio, video, and text-based datasets.

My experience includes data annotation, transcription, image and text labeling, content moderation, metadata tagging, AI content validation, and chatbot conversation QA. I’ve worked on projects that required reviewing AI-generated outputs (such as news captions or chatbot replies), tagging relevant information, and providing human judgment to improve AI model accuracy.

I have a strong understanding of AI training workflows from raw data labeling to quality checks and feedback loops. I’ve worked on both classification and segmentation tasks using annotation tools that involve bounding boxes, polygons, and custom tagging. I’ve also transcribed and reviewed audio files, ensuring text accuracy for natural language processing (NLP) models.

In my role at CloudFactory, I focused on validating AI-generated news content, checking grammar, tagging correct geographical locations, and reviewing metadata to ensure consistency with source articles. With MCRI Global and Innodata, I handled caption evaluation, prompt-image alignment, chatbot conversation tagging, and QA of AI outputs which all requires precision and independent judgment.

I’m skilled in using tools like Google Sheets, Google Docs, and internal platforms built for AI project workflows. I’m comfortable working in deadline-driven environments and following complex SOPs with minimal supervision. I can also adapt quickly to different toolsets and guidelines as projects evolve.

What I enjoy most about working in AI is being part of the human side of machine learning. I find meaning in improving AI systems by ensuring the data behind them is clean, accurate, and aligned with real-world use cases.

I’m currently looking for long-term roles in AI support, data entry, content moderation, admin support, and virtual assistant work especially in non-voice, task-based remote environments where accuracy and consistency matter.