LLM – AI Quality Analyst (Personalization)
Language Specialist: [Chinese, Korean, Japanese, Thai]
Remote | Contract Opportunity |

Special Requirements
• [Chinese, Korean, Japanese, Thai] Proficiency: Ability to read and write in [Chinese, Korean, Japanese, Thai] with a high degree of comprehension, as [Chinese, Korean, Japanese, Thai] is the focus language for this project.
• Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.
• Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Must maintain 4 hours of overlap with PST time zone.
• Exceptional Analytical Thinking: Demonstrated ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.

Vetting Process
• Interest check form + Assessment

Role Overview
As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful.
This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences, then use your analytical skills to assess the quality of the model's personalized responses — evaluating dimensions like Grounding, Integration, and Helpfulness.

Key Qualifications
• [Chinese, Korean, Japanese, Thai] Proficiency: Ability to read and write in [Chinese, Korean, Japanese, Thai] with a high degree of comprehension — this is the core requirement for this role.
• Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for genuine assessment.
• Schedule Flexibility: Full-time availability (8 hrs/day) in your local time zone, with 4 hours of overlap with PST.
• Exceptional Analytical Thinking: Ability to evaluate nuanced and ambiguous AI responses, specifically around personalization quality.
• Creative Prompt Engineering: Experience designing creative, multi-turn prompts based on personal context to thoroughly test model capabilities.
• Strong Evaluation Acumen: Understanding of personalization concepts, including ability to identify incorrect personalization, poor inferences, and forced connections.
• Meticulous Attention to Detail: Ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating.
• Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
• Feedback Skills: Ability to provide constructive feedback and detailed annotations.
• Collaboration: Strong communication and teamwork skills with the ability to work independently in a remote setting.
• Technical Setup: Desktop or laptop with a reliable internet connection.

Day-to-Day Responsibilities
As part of a dynamic team focused on evaluating the quality of personalized AI interactions, your daily work will include:
• Designing and executing multi-turn conversational prompts (typically 1–5 turns) that require the AI to utilize your personal information and experiences.
• Evaluating model responses based on your intent from the starting prompt, checking if personalization was appropriately applied.
• Analyzing responses for Grounding issues — ensuring claims about you are supported by evidence, not flawed inferences or hallucinations.
• Assessing Integration quality to ensure personal data is woven naturally into responses without robotic "overnarrating".
• Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is more helpful, easy to use, and enjoyable.
• Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation.
• Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized.
• Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.

Education & Experience
• BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
• Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.