AI Evaluator
I spent a few months working with Outlier on evaluating AI responses.
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With over 21 years of experience as an editor, writer, and team leader, I have developed a strong foundation in technical documentation, quality management, and process improvement—all of which are essential for high-quality data labeling and AI training data roles. My background includes managing and training large teams, designing and implementing quality review processes, and working extensively with structured content using tools like Oxygen XML, Tridion Docs, and Jira. I have led projects in healthcare IT and academic publishing, focusing on accuracy, consistency, and accessibility, and have applied Lean Six Sigma methodologies to optimize workflows and ensure data integrity. My expertise in policy and procedure documentation, combined with hands-on experience in technical editing and training program design, enables me to deliver precise, reliable, and well-annotated data for AI and machine learning applications.
I spent a few months working with Outlier on evaluating AI responses.
I led several projects to annotate, label, and evaluate the output of an in-house AI tool used for editing automation.
Master of Arts, English, Technical Communication
Bachelor of Arts, English (Linguistics and Technical Writing)
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