Company Description:MillionLogics is a trusted Oracle Partner and global leader in IT solutions, with operations in London, UK, and a development hub in Hyderabad, India. Specialising in innovative and scalable services, MillionLogics empowers enterprises through data & AI, cloud solutions, IT consulting, and custom application development. With a team of 85+ AI/ML experts, we deliver tailored solutions that foster digital transformation and operational excellence. We are committed to client success. We blend world-class technical expertise with strategic insight to deliver results.Role OverviewAs an AI Quality Analyst, you will evaluate a new personalisation 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 rigour. 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 personalised responses, evaluating dimensions such as Grounding, Integration, and Helpfulness.Offer DetailDuration of Contract: 12 monthsPay: $1600 per month (net/take-home)Mode of work: Fully RemoteNumber of Positions:40Must have Arabic expertiseExperience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferredBS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field)Key QualificationsArabic Proficiency: Ability to read and write in the Arabic langugage with a high degree of competence, as Arabic is the focus language for this projectPersonal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessmentent.Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operationExceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalisation qualityCreative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilitiesStrong Evaluation Acumen: Understanding of personalisation concepts, including the ability to identify incorrect personalisation, poor inferences, and forced connectionsMeticulous 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 numbersFeedback: Ability to provide constructive feedback and detailed annotationsCommunication: Excellent communication and collaboration skillsIndependence: Self-motivated and able to work independently in a remote settingTechnical Setup: Desktop/Laptop set up with a good internet connectionDescripIn this role, you will be part of a dynamic team focused on evaluating the quality of personalised AI interactions. Your day-to-day work will involveDesigning and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilise your personal information and experienceEvaluating model responses based on your intent from the starting prompt, checking if the personalisation was appropriately appliedAnalysing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinationsAssessing Integration quality to ensure personal data is woven naturally into the response without robotic "over-narration "Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyableWriting clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversationExtracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilisedMaintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat historyEducation & ExperBS/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 preferredAdditional DCommitments Required: at least 4 hours per day and up to 40 hours per week, with 4 hours of overlap with PST.Engagement type:Contractor engagement Length: 12months