AI Quality Analyst (Korean)

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 Overview:

As 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 Details:

• Duration of Contract: 12 months
• Pay: $1600 per month (net/take-home)
• Mode of work: Fully Remote
• Number of Positions: 30
• Must have Korean nativity

Key Qualifications:

• Korean Proficiency: Ability to read and write in the Korean language with a high degree of comp, as Korean 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 the ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalisation quality.
• Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to test the model's capabilities thoroughly.
• Strong Evaluation Acumen: Understanding of personalisation concepts, including the ability to identify incorrect personalisation, 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 personalised 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 utilise your personal information and experiences.
• Evaluating model responses based on your intent from the starting prompt, checking if the personalisation 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 utilised.
• 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.

Additional Details:

• Commitments 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: 12 months