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AI Benchmarking Specialist, SP Support - Italian, International Seller Growth
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 and quality of the collected information
- Prepare clear audit and benchmarking reports, including error ratings, root-cause analysis, and recommendations, and contribute to presentations for senior stakeholders
- Maintain organized audit documentation, evidence, and benchmarking datasets to support internal review
- You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation
- You will strive to enhance the productivity and effectiveness of the data generation by contributing to the development and continuous improvement of AI audit methodologies, checklists, and test frameworks as regulations and best practices evolve
We are open to hiring candidates to work out of:
Bengaluru, Karnataka, IND
About the team
There are millions of small and medium businesses across international stores such as India, Lat Am, Europe, Middle East, Japan etc. who sign up as sellers 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.
Basic Qualifications
- Speak, write, and read fluently in Italian
Preferred Qualifications
- Bachelor's degree in any field of study
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
10件のレビュー
3.4
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.0
キャリア
3.8
経営陣
2.7
65%
知人への推奨率
良い点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
改善点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
給与レンジ
4件のデータ
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L4
0件のレポート
$181,968
年収総額
基本給
-
ストック
-
ボーナス
-
$154,672
$209,264
面接レビュー
レビュー6件
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 17%
ネガティブ 83%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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