About this role
As an AI Quality Analyst, you will play a crucial role in evaluating a new personalization feature for Gemini. This position involves assessing how effectively the model utilizes information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to enhance the relevance and helpfulness of its responses. The role demands a unique combination of creativity and analytical skills, where you will design prompts based on your personal experiences and evaluate 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 responses without robotic "overnarrating".
- Rigorously evaluate and stack-rank two model responses side-by-side (SxS) to determine which is more helpful, easy to use, and enjoyable.
Qualifications:
- Hindi Proficiency: Ability to read and write in Hindi with a high degree of competence, as Hindi 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, as we are staffing a global, 24-hour operations team.
- Exceptional Analytical Thinking: Demonstrated ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
- Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model''s capabilities.
- Strong Evaluation Acumen: Understanding of personalization concepts, including the 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: Ability to provide constructive feedback and detailed annotations.
- Communication: Excellent communication and collaboration skills.
- Independence: Self-motivated and able to work independently in a remote setting.
- Technical Setup: Desktop/Laptop set up with a good internet connection.
Work Terms:
Contract position with full-time availability required.
Compensation:
$15 per hour.
Eligibility:
Must be able to work remotely and use a personal Google account for assessment purposes.