
Work hard. Have fun. Make history.
AI Data Trainer (Portuguese), Operations Team, Alexa Shopping Operations
Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. 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 shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.
Key job responsibilities
- As part of your role, you will have the opportunity to,
- Contribute to various projects involved in generating training datasets for AI models
- Create content that generates text-based user input to power artificial intelligence
- Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information
- Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models
- 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 and annotation processes
About the team
Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. 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 shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed.
Basic Qualifications
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- Bachelor's degree or B2/B2.2 certification in Portuguese Language.
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- 1+ years of experience in content or editorial writing.
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- Proficient in Portuguese & English language.
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- Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension.
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- Required language level: Graduation/B2/ B2.2 Certification
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- Outstanding communication skills, both written and oral, with a keen eye for detail
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- Strong organizational skills to effectively manage tasks and projects.
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- Proficient in analytical thinking and problem-solving.
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- Comfortable working in a fast-paced, highly collaborative, and dynamic work environment.
Preferred Qualifications
- Post Graduation degree in Portuguese Language. Previous experience as AI trainers, knowledge of AI and NLP, Cambridge certifications Experience with Artificial Intelligence interaction, such as prompt generation and open AI's
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 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
10개 리뷰
3.4
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.0
커리어
3.8
경영진
2.7
65%
지인 추천률
장점
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
단점
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
연봉 정보
4개 데이터
Junior/L3
L2
L6
M3
M4
M5
M6
Intern
L3
L4
L5
Junior/L3 · Warehouse
1개 리포트
$30,509
총 연봉
기본급
$23,546
주식
-
보너스
-
$30,509
$30,509
면접 후기
후기 6개
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 17%
부정 83%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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