Job Title: LLM – AI Quality Analyst (Personalization) – English
Contract duration: 03 Months + (possible extension)
Location: 100% Remote (UK, Ireland, Malta)
Shift/schedule: 40 hours per week with 4 hours of overlap with PST.
Exp – 1+ years
Special requirements:
- Ability to read and write in English with a high degree of comp, as English 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.
- Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
Skill:
- Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.
- BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
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.
- You will then use your analytical skills to assess the quality of the model’s personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.
Key Qualifications:
- Ability to read and write in English with a high degree of comp, as English 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.
- Exceptional Analytical Thinking: Demonstrate 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: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and over narrating.
- 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.
Description:
- In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:
- 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 the personalization was appropriately applied.
- Analysing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations.
- Assessing Integration quality to ensure personal data is woven naturally into the response without robotic “over narrating”.
- Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall 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.
Evaluation Process:
- Shortlisted candidates will be sent a Job Interest Form.
- After the profile review, an assessment will be shared, which must be completed within 24 hours.
- Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements.
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