AI/LLM Analyst
TextFine Tuning
As an AI/LLM Analyst at Innodata, I was responsible for the training and fine-tuning of large language models using high-quality annotated datasets. My role included data preprocessing, prompt engineering, and evaluation of model outputs to boost model performance and relevance. I continuously analyzed data patterns and enhanced training pipelines for improved LLM outcomes.
• Conducted high-quality annotation of text data for LLM training and evaluation.
• Designed prompts and evaluated generated outputs for accuracy and relevance.
• Applied data preprocessing and prompt engineering best practices.
• Contributed to model fine-tuning cycles and iterative improvements.
As an AI/LLM Analyst at Innodata, I was responsible for the training and fine-tuning of large language models using high-quality annotated datasets. My role included data preprocessing, prompt engineering, and evaluation of model outputs to boost model performance and relevance. I continuously analyzed data patterns and enhanced training pipelines for improved LLM outcomes. • Conducted high-quality annotation of text data for LLM training and evaluation. • Designed prompts and evaluated generated outputs for accuracy and relevance. • Applied data preprocessing and prompt engineering best practices. • Contributed to model fine-tuning cycles and iterative improvements.
2025 - Present