AI Quality Analyst (Gemini) - Chinese
Listing checked August 25, 2026 · pay as published by Turing
Overview
You will evaluate a new personalization feature in Gemini that uses your past conversations, Gmail, Google Search, and YouTube activity to tailor responses. The role blends creative prompt design with analytical review. You will write multi-turn prompts based on personal context and then score two model responses side-by-side on Grounding, Integration, and Helpfulness. The project centers on Chinese-language content, so strong reading and writing ability in Chinese is required.
What You'll Do6
- 1Create and run multi-turn conversation prompts of 1-5 turns that force the model to use your personal data and experiences.
- 2Check model responses for Grounding errors to see whether claims about you come from real evidence rather than faulty inferences or hallucinations.
- 3Compare two model outputs side-by-side and rank which one is more helpful, easier to use, and more enjoyable.
- 4Write clear, structured explanations for your rankings, citing specific conversation turns where the model did well or poorly.
- 5Pull and inspect the model's Debug Info to confirm it used the right chat summaries and data sources.
- 6Delete evaluation conversations after each task so they do not contaminate your future chat history.
Requirements8
- 1Native or near-native reading and writing ability in Chinese, since the project focuses on Chinese-language outputs.
- 2Experience designing creative, multi-turn prompts that rely on personal context to challenge the model.
- 3Strong understanding of personalization concepts, including identifying incorrect personalization, weak inferences, and forced connections.
- 4Meticulous attention to detail when comparing side-by-side (SxS) responses and catching subtle differences in naturalness and overnarrating.
- 5Excellent written communication skills for writing clear, concise rationales that reference specific turn numbers.
- 6Ability to provide constructive feedback and detailed annotations.
- 7A BS/BA degree or equivalent experience in policy, law, ethics, linguistics, journalism, computer science, or a related analytical field.
- 8Prior experience in data annotation, AI quality evaluation, content moderation, or a related role is preferred.
Who Should Apply
The ideal candidate is an analytical evaluator with strong Chinese reading and writing skills and a background in data annotation, AI quality evaluation, or content moderation. This person should enjoy designing multi-turn prompts from personal experience and defending their rankings with clear, turn-specific rationale. The role demands meticulous comparison of side-by-side outputs and disciplined deletion of evaluation chats after each session. Candidates who prefer open-ended research or who find repetitive comparative scoring tedious are a poor fit. Common rejection reasons include weak rationales that fail to reference specific turns, and prompts that lack meaningful personal context to stress-test the model.
Salary Insight
The offered rate for this project is $15 per hour.
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Compensation
$15/hr
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Application Tip
For the assessment, build each prompt from a concrete personal experience, like a recent trip or a specific email thread, and then compare the two model responses by referencing exact turn numbers and explaining your reasoning in terms of Grounding, Integration, and Helpfulness.
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