Danielle

I am a detail-oriented and thoughtful remote professional with strong experience supporting AI training through human-in-the-loop work, along with a long background in writing, editing, and online research. My recent work has focused on evaluating and annotating AI-generated content across multiple task types, including captioning, entity recognition, OCR, and diagram interpretation, while carefully following detailed guidelines to ensure accuracy, consistency, and usefulness.

I genuinely enjoy work that requires careful reading, critical thinking, and thoughtful judgment. I’m comfortable adapting to evolving instructions, learning new tools quickly, and maintaining quality standards in fast-paced, remote project environments. Providing structured feedback and helping improve model performance is work I find meaningful and rewarding.

Alongside AI data work, I bring strong writing and editing skills from years of blogging, content development, and digital publishing. I regularly edit for clarity, tone, and accuracy, and I have a natural eye for catching inconsistencies, grammar issues, and factual gaps. Research is a core strength of mine, whether verifying information, comparing sources, or organizing findings into clear, usable formats.

I am highly organized, dependable, and self-directed, with strong documentation habits and excellent time management. I work best in focused, behind-the-scenes roles where precision, care, and thoughtful communication matter.

I am seeking remote opportunities in AI data support, content evaluation, writing, editing, and research, where I can contribute consistently, grow my skills, and be part of work that supports responsible and high-quality technology.