Company Description
MillionLogics, a trusted Oracle Partner, specializes in delivering innovative and future-ready IT solutions. The company's core services include Data & AI, Cloud Solutions, IT Consulting, and Database Services, with deep expertise in Oracle Cloud technologies. With a team of over 25 Oracle experts, MillionLogics is committed to providing tailored, results-driven solutions that enable organizations to thrive in the digital age. Dedicated to innovation and client success, MillionLogics helps businesses achieve seamless digital transformations.
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. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.
Italian Proficiency: Ability to read and write in Italian with a high degree of comp, as Italian 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.
Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities.
Self-motivated and able to work independently in a remote setting.
Technical Setup: Desktop/Laptop set up with a good internet connection.
In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "over narrating".
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.
Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.
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