AI & Medical Content Contributor
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Reviewed and labeled clinical text datasets to create high-quality training data for language models. Ensured domain-appropriate annotations and consistent taxonomy while evaluating LLM outputs for medical accuracy, clarity, and safety. Designed and iterated prompts to improve relevance and reliability of clinical model outputs.
• Compared model responses to authoritative evidence and flagged errors for remediation.
• Implemented quality-evaluation workflows using Excel, Notion, and Google Workspace.
• Collaborated with reviewers to refine annotation guidelines for consistency.
• Tracked review findings and communicated corrections to the training team.
Reviewed and labeled clinical text datasets to create high-quality training data for language models. Ensured domain-appropriate annotations and consistent taxonomy while evaluating LLM outputs for medical accuracy, clarity, and safety. Designed and iterated prompts to improve relevance and reliability of clinical model outputs. • Compared model responses to authoritative evidence and flagged errors for remediation. • Implemented quality-evaluation workflows using Excel, Notion, and Google Workspace. • Collaborated with reviewers to refine annotation guidelines for consistency. • Tracked review findings and communicated corrections to the training team.
2025 - Present