
Work hard. Have fun. Make history.
AI Data Associate - French, Artificial General Intelligence
AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
- Key job responsibilities
- Maintain and follow strict confidentiality as customer privacy is our biggest tenet
- Work with a range of different types of data including but not limited to text, speech, image, and video
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
- Ability to make logical decisions while performing tasks even when provided information is ambiguous.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
- Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
- Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
- Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.
About the team
The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Basic Qualifications
-
- An Associate’s Degree or related work experience
-
- CEFR C1+ or equivalent fluency in French language
-
- Written and spoken knowledge of English is essential (CEFR C1+)
-
- Strong business writing skills with ability to create reports, proposals, and professional correspondence
-
- Advanced reading comprehension with ability to analyze complex business documents
-
- Developed analytical thinking and structured problem-solving capabilities
-
- Strong ability to interpret and implement detailed instructions across various projects
-
- Proficient research skills with experience gathering and synthesizing information from multiple sources
-
- Proven attention to detail in managing complex tasks and documents.
Preferred Qualifications
- Bachelor’s degree in a relevant field
- 2+ years of professional work experience with demonstrated task execution ability
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- 2-3 years project coordination or management experience (for support functions teams)
- Experience managing stakeholder relationships across departments
- Advanced proficiency in Microsoft Office Suite and common business applications
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
閲覧数
0
応募クリック
0
Mock Apply
0
スクラップ
0
類似の求人

FSP - Scientist - Research Associate
Thermo Fisher · West Sacramento, California, USA

Data Scientist - Junior
Maxar · 2 Locations

India Junior Analyst, Process
Waste Management · Indore, Madhya Pradesh, India, IN

Associate Scientist, In vivo Pharmacology, Inflammation
Amgen · US - California - South San Francisco

Junior Analyst, Equity Research - Autos
Wells Fargo · NEW YORK, NY
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
最新情報
OpenAI’s subtle drift from Microsoft has become an aggressive move toward Amazon - CNBC
CNBC
News
·
1w ago
A blue-collar worker says he makes $10,000 per month from Amazon in just 20 hours of work — how you can do it, too - Yahoo Finance
Yahoo Finance
News
·
1w ago
Amazon Q1 earnings put the spotlight on AI spending and revenue - Yahoo Finance
Yahoo Finance
News
·
1w ago
Amazon Damage Claim NC | After delivery driver damages garage door, homeowner gets claims money: ABC11 Troubleshooter - ABC11 Raleigh-Durham
ABC11 Raleigh-Durham
News
·
1w ago