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Home›Jobs›Amazon›ML Data Associate-II - German, Artificial General Intelligence
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

ML Data Associate-II - German, Artificial General Intelligence

Amazon • Bellevue, Washington, USA

Posted 6 months ago🏛️ On-SiteMid-LevelData scientist📍 Bellevue
Apply Now →

Job Description

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 most
important tenet
•Work with a range of different types of data including, but not limited to:
text, speech, audio, image, and video
•Deliver high-quality labelled data, using guidelines provided to meet our
KPIs and using in-house tools and software, as part of Amazon's commitment
to developing and deploying AI responsibly.
•Demonstrate proficiency in generating high quality human insight data
across a range of modalities, inclusive of text, image video and audio.
•Capable of making sound judgments and logical decisions when faced with
ambiguous or incomplete information while performing tasks.
•Eye for detail and ability to pivot from one category of requirement to
another instantaneously.
•Demonstrate support on daily operational deliverables for multiple task
types assigned to you and the team
•Analyze root causes, identify error patterns, and propose solutions to
enhance the quality of labeling tasks and their outputs.
•Responsible for identifying day-to-day process and operational issues in
Standard Operating Procedure, 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.
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 of improving customers’ lives with
practical, useful generative AI innovations. An inner drive, individuality, and a
creative mind are extremely beneficial

About the team
About AWS

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
•Native fluency in German and English.
•An Associate’s Degree or related work experience
•C1+ or equivalent fluency in German language
•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•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 teams)
•Experience managing stakeholder relationships across departments
•Advanced proficiency in Microsoft Office Suite and common business
applications.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $43,680/year in our lowest geographic market up to $47,840/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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