Kinnakone Sidavong

Key Skills

Software

Appen

Google Cloud Vertex AI

Prodigy

Scale AI

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Evaluation Rating

Freelancer Overview

While my background is not in traditional data labeling, my work has consistently involved guideline-driven evaluation, quality control, and training. These skills translate directly to AI training data and human-in-the-loop workflows. In my current contract role with Mercor, I work in structured, remote environments where accuracy, consistency, and adherence to detailed instructions are essential. I regularly review work against defined standards, provide corrective feedback, and ensure outputs meet quality expectations across multiple concurrent projects. My experience as a journalist and editor further strengthened my ability to evaluate large volumes of content for accuracy, clarity, bias, and compliance with style and factual guidelines. I have led editorial review processes, trained contributors on standards, and maintained consistency under tight deadlines. This work closely aligns with data annotation, content evaluation, and quality assurance in AI training contexts. What sets me apart is my ability to quickly learn new guidelines, apply them consistently, and communicate feedback clearly while working independently in fast-paced, remote environments.

Labeling Experience

Guideline-Based Content Evaluation and Quality Review

Google Cloud Vertex AITextEvaluation Rating

Reviewed and evaluated text-based outputs against detailed guidelines, focusing on accuracy, clarity, consistency, and adherence to defined standards. Provided structured ratings and written feedback to improve output quality and reduce errors. This work required close attention to instruction sets, consistent application of criteria, and independent judgment in a remote, deadline-driven environment.

Reviewed and evaluated text-based outputs against detailed guidelines, focusing on accuracy, clarity, consistency, and adherence to defined standards. Provided structured ratings and written feedback to improve output quality and reduce errors. This work required close attention to instruction sets, consistent application of criteria, and independent judgment in a remote, deadline-driven environment.

2025

Education

Work History