Veterinary AI Data & Annotation Specialist
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Performed structured annotation of clinical text and simulated veterinary cases, focusing on the evaluation of AI-generated outputs. Applied clinical reasoning and domain expertise to validate, annotate, and improve large language model (LLM) responses in healthcare and veterinary settings. Ensured all work adhered strictly to annotation guidelines and quality control protocols.• Conducted detailed annotation of clinical and simulated veterinary data • Evaluated LLM responses for factual accuracy and internal consistency • Applied structured processes for guideline-based quality assurance • Utilized specialized data annotation platforms and AI evaluation tools
Performed structured annotation of clinical text and simulated veterinary cases, focusing on the evaluation of AI-generated outputs. Applied clinical reasoning and domain expertise to validate, annotate, and improve large language model (LLM) responses in healthcare and veterinary settings. Ensured all work adhered strictly to annotation guidelines and quality control protocols.• Conducted detailed annotation of clinical and simulated veterinary data • Evaluated LLM responses for factual accuracy and internal consistency • Applied structured processes for guideline-based quality assurance • Utilized specialized data annotation platforms and AI evaluation tools
2023 - Present