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7 days ago
Evaluate AI Responses
The primary metric for measuring AI response quality is its usefulness in addressing the user prompt. Assessors must evaluate the quality, safety, and utility of AI-generated content, particularly in use cases like literature summarization, clinical question answering, and decision support.
Each AI generated response should be scored across 10 key criteria using a Likert scale (4=Great, 3=Good, 2=Fair, 1=Poor). A commentary must also be provided on the AI response, flagging critical issues (e.g., hallucinations or ethical/safety concerns).
Commentaries must be error-free, concise, and consistent with established medical guidelines, evidence-based practices, and current clinical standards.
Requirements:
- PhD in respective disciplines
- Research Experience: Minimum of 2 years in a reputable institution or laboratory
- Strong subject matter expertise
- Excellent Communication Skills
- Familiarity with AI and Technology
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