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.

Basic Qualifications

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

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 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.

Company - Amazon.com Services LLC

Job ID: A3023182

Qualifications

across a range of modalities, inclusive of text, image video and audio
Capable of making sound judgments and logical decisions when faced with
We are looking for a ML Data Associate (MLDA) to undertake the task of
Your ability to concentrate, multi-task and your high attention to detail helps you
practical, useful generative AI innovations
An inner drive, individuality, and a
creative mind are extremely beneficial
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
Advanced reading comprehension with ability to analyze complex business
Developed analytical thinking and structured problem-solving capabilities
Strong ability to interpret and implement detailed instructions across
Proficient research skills with experience gathering and synthesizing
information from multiple sources
Proven attention to detail in managing complex tasks and documents
Proven capacity to leverage open-source resources effectively for
Ability to adapt well to fast-paced environments with changing
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

Benefits

Work/Life Balance
We value work-life harmony
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
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

Responsibilities

Maintain and follow strict confidentiality as customer privacy is our most
Work with a range of different types of data including, but not limited to:
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
ambiguous or incomplete information while performing tasks
Eye for detail and ability to pivot from one category of requirement to
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
Demonstrate ownership in floor support to clarify internal queries during
execution on need basis
foundational labeling functions, such as dialogue evaluation on speech, text, audio,
deliver high-quality work as well as maintaining strict confidentiality and follow all
of a diverse team with the shared vision of improving customers’ lives with

ML Data Associate-II - German, Artificial General Intelligence

Job Type