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I worked on the OpenClaw AI training project through Outlier, where my primary responsibility was labeling and annotating datasets used to train machine learning models. This required carefully reviewing inputs, applying consistent tags, and following strict project guidelines to ensure accuracy and reliability. The role gave me practical exposure to how human‑in‑the‑loop processes contribute to building high‑quality AI systems. Through this experience, I strengthened my attention to detail, ability to follow structured workflows, and understanding of AI training pipelines. I also developed skills in quality control, annotation consistency, and meeting project deadlines within a collaborative platform. Overall, the project enhanced both my technical and professional capabilities in the field of AI data preparation.
Contributed to the OpenClaw AI training project on Outlier, performing data labeling and annotation to build high‑quality datasets for machine learning. Developed skills in accuracy, consistency, and AI workflow understanding.
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