Portuguese AI Quality Analyst for Personalization

Role Overview:

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini, focusing on how effectively the model utilizes information from your past conversations, Gmail, Google Search, and YouTube activity to enhance response relevance and helpfulness. This role combines creativity with analytical rigor, requiring you to design prompts based on your personal experiences and assess the quality of the model''s personalized responses across various dimensions such as Grounding, Integration, and Helpfulness.

Key Responsibilities:

• Design and execute multi-turn conversational prompts (typically 1-5 turns) that require the AI to leverage your personal information and experiences.
• Evaluate model responses based on your intent from the starting prompt, ensuring appropriate application of personalization.
• Analyze responses for Grounding issues, confirming that claims about you are supported by evidence rather than flawed inferences or hallucinations.
• Assess Integration quality to ensure personal data is naturally woven into the response without robotic "overnarrating".
• Rigorously evaluate and stack-rank two model responses side-by-side (SxS) to determine which is more helpful and user-friendly.

Qualifications:

• Proficiency in Portuguese, with the ability to read and write at a high level, as Portuguese is the focus language for this project.
• Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for genuine assessment.
• Full-time availability in your local time zone, as we are staffing a global, 24-hour operations team.
• Exceptional analytical thinking skills to evaluate nuanced and ambiguous AI responses, particularly in assessing personalization quality.
• Experience in creative prompt engineering, designing multi-turn prompts based on personal context to thoroughly test the model''s capabilities.
• Strong evaluation acumen with an understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections.
• Meticulous attention to detail, capable of reviewing Side-by-Side (SxS) model responses and spotting subtle differences in naturalness and overnarrating.
• Excellent written communication skills, with the ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
• Ability to provide constructive feedback and detailed annotations.
• Strong communication and collaboration skills.
• Self-motivated and able to work independently in a remote setting.
• Technical setup with a desktop/laptop and a reliable internet connection.