AI Trainer & Analyst, OutlierAI
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Assessed the outputs of large language models (LLMs) across biomedical subject areas, providing structured feedback to improve model accuracy and relevance. Assembled and maintained BME training datasets, focusing on biosignal processing and medical terminology to ensure high data quality. Followed healthcare compliance standards for all AI quality evaluation activities. • Conducted regular, systematic LLM output evaluations for recurring error identification.
• Created and curated specialized biomedical data sets for training and fine-tuning.
• Authored detailed feedback and scorecards for model retraining cycles.
• Upheld recordkeeping and data handling consistent with HIPAA-compliant environments.
Assessed the outputs of large language models (LLMs) across biomedical subject areas, providing structured feedback to improve model accuracy and relevance. Assembled and maintained BME training datasets, focusing on biosignal processing and medical terminology to ensure high data quality. Followed healthcare compliance standards for all AI quality evaluation activities. • Conducted regular, systematic LLM output evaluations for recurring error identification. • Created and curated specialized biomedical data sets for training and fine-tuning. • Authored detailed feedback and scorecards for model retraining cycles. • Upheld recordkeeping and data handling consistent with HIPAA-compliant environments.
2025 - Present