Amazon
ML Data Associate-II - Italian, Artificial General Intelligence
Amazon, Bellevue, Washington, us, 98009
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
Basic Qualifications
• Native fluency in Italian and English.
•An Associate’s Degree or related work experience
•C1+ or equivalent fluency in Italian 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
functions 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.
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
Basic Qualifications
• Native fluency in Italian and English.
•An Associate’s Degree or related work experience
•C1+ or equivalent fluency in Italian 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
functions 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.