mid operations Data Annotator ic Bachelor's · Posted Jan 6, 2026

About this role

Amazon is hiring a mid-level Data Annotator in the operations function based in Shanghai, China. The posting calls out experience with LLMs, Testing. Listed education preference: a bachelor's degree or equivalent.

Role
Data Annotator
Function
operations
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Shanghai, China
Education
Bachelor's degree
Department
Editorial, Writing, & Content Management
Posted
Jan 6, 2026
AI Summary
Mid-level Data Annotator supporting AI model evaluation for Amazon's seller platform. Designs benchmarking exercises, validates data against annotation guidelines, and prepares audit reports assessing model quality, bias, and compliance. Requires native Mandarin proficiency and Chinese citizenship.

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Job description

from Amazon careers

The Seller AI team within International Seller Services organization is focused on helping sellers with the right set of Gen-AI/LLM powered tools and agentic solutions that can enable them to accelerate business growth on Amazon. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior seller experience to our sellers worldwide. The AI Benchmarking Associate supports the evaluation of AI systems by designing and executing benchmarking and audit activities to assess model quality, compliance, robustness, and fairness. The role combines elements of AI auditing, quality assurance, and traditional audit-style documentation and stakeholder communication. By joining us, you will play a pivotal role in shaping the future of selling on Amazon for sellers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Assist in planning and executing benchmarking exercises for AI models, including defining test plans, metrics, and acceptance criteria across accuracy, robustness, bias, and reliability • Support content accuracy, relevancy, and privacy checks by reviewing datasets, model outputs, and data handling practices, escalating potential regulatory risks. • Validate data based on specific annotation guidelines, ensuring the accuracy…

This is an excerpt. Read the full job description on Amazon careers →
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