AI Trainer/Data Annotator
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I participated in AI training and data annotation tasks for the Aether Project: Outlier, focusing on large language model evaluation. My responsibility was to identify subtle failure modes, hallucinations, mistakes, and reasoning gaps in the outputs of LLMs. The role required careful analysis of model behavior and providing structured feedback to improve machine output. • Evaluated AI-generated text for accuracy, coherence, and reasoning quality.
• Identified, documented, and reported errors or hallucinations in LLM outputs.
• Contributed to the development of more human-like machine responses.
• Collaborated with a team to ensure consistent and high-quality data annotation.
I participated in AI training and data annotation tasks for the Aether Project: Outlier, focusing on large language model evaluation. My responsibility was to identify subtle failure modes, hallucinations, mistakes, and reasoning gaps in the outputs of LLMs. The role required careful analysis of model behavior and providing structured feedback to improve machine output. • Evaluated AI-generated text for accuracy, coherence, and reasoning quality. • Identified, documented, and reported errors or hallucinations in LLM outputs. • Contributed to the development of more human-like machine responses. • Collaborated with a team to ensure consistent and high-quality data annotation.
2025 - 2026