AI Data Annotation & Evaluation Contributor
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Contributed to AI data annotation and evaluation tasks, focusing on improving large language models. Labeled and rated scientific and mathematical text data to train and assess AI systems. Performed evaluations and studies to enhance LLM reasoning capabilities and data-driven responses. • Annotated and evaluated text-based datasets relevant to physics and mathematics
• Utilized AI platforms and internal tools for model assessment
• Provided feedback for LLM improvements and scientific reasoning accuracy
• Maintained high attention to detail in annotation protocols
Contributed to AI data annotation and evaluation tasks, focusing on improving large language models. Labeled and rated scientific and mathematical text data to train and assess AI systems. Performed evaluations and studies to enhance LLM reasoning capabilities and data-driven responses. • Annotated and evaluated text-based datasets relevant to physics and mathematics • Utilized AI platforms and internal tools for model assessment • Provided feedback for LLM improvements and scientific reasoning accuracy • Maintained high attention to detail in annotation protocols
2021 - Present