AI Quality Analyst - English
Listing checked September 4, 2026 · pay as published by Turing
Overview
You will judge how well Gemini draws on your personal history, including past chats, Gmail, Google Search, and YouTube activity, to craft relevant replies. The job centers on a new personalization feature, so your own Google account becomes the test bed. Each evaluation asks you to compare two model responses side by side and decide which one feels more natural and useful. You also classify weak Grounding, awkward Integration, and judge the overall Helpfulness of each output. Prompt design is a core part of the work: you create multi-turn scenarios from your own experiences to push the model.
What You'll Do8
- 1Build and run multi-turn chat prompts that span 1 to 5 turns and pull from your personal data and experiences.
- 2Review each model response against your original intent and flag any instance where the personalization did not hit the target.
- 3Check for Grounding failures by verifying that statements about you trace back to real evidence instead of guesses or hallucinations.
- 4Assess Integration quality to catch replies that bolt in personal details in a stiff or overwrought way.
- 5Compare two versions of a response side by side and decide which one ranks higher for clarity, usefulness, and ease.
- 6Write concise rationales for each ranking and cite the exact turns where the model succeeded or fell short.
- 7Open the model's Debug Info to confirm it referenced the right chat summaries and data sources.
- 8Delete each evaluation conversation after review so old tests cannot contaminate your future chat history.
Requirements12
- 1Read and write English at a professional level; English is the project's focus language.
- 2Use your personal Google account as the primary test account, not a separate testing profile.
- 3Work a full-time schedule in your local time zone and support global 24-hour coverage needs.
- 4Break down nuanced, ambiguous AI responses and decide whether the personalization fits the user's intent.
- 5Design creative, multi-turn prompts using your own life context to stress-test Gemini.
- 6Identify forced personalization, faulty inferences, and other signs that the model overreached.
- 7Spot small differences between two responses in tone, naturalness, and tendency to overnarrate.
- 8Explain your ranking decisions in clear written rationales that reference specific conversation turns.
- 9Share constructive feedback and detailed annotations with the team.
- 10Work alone in a remote setup with a dependable laptop or desktop and stable internet.
- 11Hold a bachelor's degree or equivalent background in an analytical field like policy, law, linguistics, journalism, or computer science.
- 12Prior experience in data annotation, AI quality evaluation, or content moderation is a meaningful plus.
Who Should Apply
The right candidate enjoys dissecting why an AI model chose specific personal details and can defend those judgments in writing. You should feel comfortable turning your real-world habits into conversation prompts and then ranking model replies with turn-level evidence. The role is less suitable for people who do not want their daily Google activity connected or who prefer tasks with one clear answer. Candidates often fail when their rationales lean on vague impressions instead of naming exact turns from the conversation. Bland starter prompts that do not exercise personalization also undercut an application, since the assessment rewards original scenarios.
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Required Skills
Application Tip
Write practice side-by-side evaluations before the assessment. Pick a personal conversation scenario, generate two possible responses, then rank them with a rationale that names specific turns and calls out any grounding or integration flaws.
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