Project Summary
We are seeking a detail-oriented AI Response Quality & Safety Reviewer to evaluate and calibrate AI model outputs in response to user queries. This role focuses on ensuring responses are accurate, context-aware, medically aligned, and free from harmful, misleading, or inappropriate content. The ideal candidate combines strong analytical skills with domain awareness of medical standards and user safety principles.
Project Details
The work are asynchronous and 100% remote.
A deadline of around 1-2 weeks will be set from when the tasks are released, the tasks will be shared with a groups of doctors. So each doctor can contribute based on their availability.
The work is expected to be released in batches, each batch should have 5-10 hours of work per doctor.
Responsibilities
Review and calibrate AI model responses to ensure they appropriately address user queries and intent
Assess AI outputs for potential harm, misinformation, or unsafe guidance, particularly in medical contexts
Verify that information provided aligns with established medical consensus, guidelines, and best practices
Flag and document inappropriate, biased, or non-compliant content according to defined safety policies
Evaluate whether the AI model correctly recognizes and incorporates relevant user context in its responses
Provide structured feedback and annotations to improve model performance and response quality
Identify recurring issues, edge cases, and failure patterns in AI outputs
Collaborate with AI trainers, product teams, and policy stakeholders to refine evaluation criteria and standards
If you are interested in this position, please use the button. You may email recruiting@medcase.health with any questions you might have.
Our team will be in contact with you with more information.
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