AI Trainer / Data Labeler
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ClassificationI worked on the Aether Project via Outlier, where I contributed to training AI models through data labelling and response evaluation tasks. The work mainly involved reviewing and annotating AI outputs for things like accuracy, relevance, clarity, tone, and how well they followed instructions. I also did tasks such as comparing different responses, spotting errors, and helping ensure the data used for training was consistent and high quality. The project was fairly large-scale, with a high volume of tasks completed by contributors working across similar workflows. Quality was tightly managed through clear guidelines, regular feedback, and review checks to make sure annotations were accurate and consistent across the board.
2025 - 2026