16 German Language jobs in the United Kingdom
German Language Speaking Sales Executive
Birmingham, West Midlands
£30000 - £45000 Annually
hireful
Posted 3 days ago
Job Viewed
Job Description
Are you confident at speaking / fluent in German language? Do you want to develop a career in sales? Want the opportunity to be mentored 1-1 and learn from the best?
Look no further.
We have an excellent opportunity to work for one of the leading manufacturers of machine parts. As Sales Executive, you will contact an array of customers known to the business conducting ‘warm’ sales, which means absolutely no cold calling is involved.
Salary - £30,000 + Uncapped Commission (OTE up to 45K)
Location – Birmingham - 2 days at home 3 days in office
Role Type – Permanent / Full Time / Mon-Fri / 7:30am – 4:30pm (3pm Friday)
Benefits - Early Finish Friday, Hybrid Working Policy (Some of your week from home), Life Cover up to 5X, 1 extra day’s holiday added per year of employment up to a maximum of 25 days + bank Holidays, Celebration of Life Events, Auto enrolled into NEST pension, EAP-Employee Assistance Program, access to 6 counselling sessions per year, Free Car Parking
The Role
You’ll make contact with businesses based in Germany that use production lines. These will be customers who may have enquired in the past, gone dormant or there is an opportunity to upsell to.
This role will give you excellent training, taking you through all the steps required to become a top-notch salesperson. You do not need to have a sales background but having an interest in sales and the desire to work in a target driven environment where the work you do directly contributes to the money you make is important.
It’s a great opportunity to develop your skills, learn new things and be in control of your earnings.
So, if you are looking for a sales position that will push you to continuously develop and provide you with all the tools you need to succeed, why keep scrolling? Apply today!
This advertiser has chosen not to accept applicants from your region.
0
German Language Speaking Sales Executive
B1 Birmingham, West Midlands
hireful
Posted today
Job Viewed
Job Description
Are you confident at speaking / fluent in German language? Do you want to develop a career in sales? Want the opportunity to be mentored 1-1 and learn from the best?
Look no further.
We have an excellent opportunity to work for one of the leading manufacturers of machine parts. As Sales Executive, you will contact an array of customers known to the business conducting ‘warm’ sales, which means absolutely no cold calling is involved.
Salary - £30,000 + Uncapped Commission (OTE up to 45K)
Location – Birmingham - 2 days at home 3 days in office
Role Type – Permanent / Full Time / Mon-Fri / 7:30am – 4:30pm (3pm Friday)
Benefits - Early Finish Friday, Hybrid Working Policy (Some of your week from home), Life Cover up to 5X, 1 extra day’s holiday added per year of employment up to a maximum of 25 days + bank Holidays, Celebration of Life Events, Auto enrolled into NEST pension, EAP-Employee Assistance Program, access to 6 counselling sessions per year, Free Car Parking
The Role
You’ll make contact with businesses based in Germany that use production lines. These will be customers who may have enquired in the past, gone dormant or there is an opportunity to upsell to.
This role will give you excellent training, taking you through all the steps required to become a top-notch salesperson. You do not need to have a sales background but having an interest in sales and the desire to work in a target driven environment where the work you do directly contributes to the money you make is important.
It’s a great opportunity to develop your skills, learn new things and be in control of your earnings.
So, if you are looking for a sales position that will push you to continuously develop and provide you with all the tools you need to succeed, why keep scrolling? Apply today!
This advertiser has chosen not to accept applicants from your region.
1
Data Entry Clerk - German Language Part-Time,AGI-Data Services
London, London
Amazon
Posted 11 days ago
Job Viewed
Job Description
Description
Note: This position is for part-time employment.
AI is the most transformational technology of our time, capable of tackling some of humanityu2019s 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 donu2019t think out of the box, but make the box they are in u2018Biggeru2019. 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 customersu2019 lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- An Associateu2019s Degree or related work experience
- CEFR C1 or equivalent fluency in German language
- Written and spoken knowledge of English is essential (CEFR B2)
- 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
- Bacheloru2019s 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 ( ) 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
Note: This position is for part-time employment.
AI is the most transformational technology of our time, capable of tackling some of humanityu2019s 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 donu2019t think out of the box, but make the box they are in u2018Biggeru2019. 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 customersu2019 lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- An Associateu2019s Degree or related work experience
- CEFR C1 or equivalent fluency in German language
- Written and spoken knowledge of English is essential (CEFR B2)
- 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
- Bacheloru2019s 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 ( ) 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
2
Data Entry Clerk - German Language Part-Time,AGI-Data Services
London, London
Amazon
Posted 11 days ago
Job Viewed
Job Description
Description
Note: This position is for part-time employment.
AI is the most transformational technology of our time, capable of tackling some of humanityu2019s 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 donu2019t think out of the box, but make the box they are in u2018Biggeru2019. 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 customersu2019 lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- An Associateu2019s Degree or related work experience
- CEFR C1 or equivalent fluency in German language
- Written and spoken knowledge of English is essential (CEFR B2)
- 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
- Bacheloru2019s 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 ( ) 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
Note: This position is for part-time employment.
AI is the most transformational technology of our time, capable of tackling some of humanityu2019s 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 donu2019t think out of the box, but make the box they are in u2018Biggeru2019. 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 customersu2019 lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
Basic Qualifications
- An Associateu2019s Degree or related work experience
- CEFR C1 or equivalent fluency in German language
- Written and spoken knowledge of English is essential (CEFR B2)
- 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
- Bacheloru2019s 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 ( ) 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
3
Data Entry Clerk - German Language Part-Time, AGI-Data Services
London, London
Amazon
Posted 17 days ago
Job Viewed
Job Description
Description
Note: This position is for part-time employment.
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
- An Associate's Degree or related work experience
- CEFR C1 or equivalent fluency in German language
- Written and spoken knowledge of English is essential (CEFR B2)
- 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 ( ) 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Note: This position is for part-time employment.
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
- An Associate's Degree or related work experience
- CEFR C1 or equivalent fluency in German language
- Written and spoken knowledge of English is essential (CEFR B2)
- 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 ( ) 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
4
ML Senior Data Associate - Fluent in German Language,Artificial General Intelligence
London, London
Amazon
Posted 11 days ago
Job Viewed
Job Description
Description
Note: This is a position for a fixed-term contract.
AI is the most transformational technology of our time, capable of tackling some of humanityu2019s 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 donu2019t think out of the box, but make the box they are in u2018Biggeru2019. 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 Alexau2019s 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 Associateu2019s Degree or related work experience
- CEFR C1+ or equivalent fluency in German 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
- Bacheloru2019s degree in a relevant field
- Proven 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
- Proven 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 ( ) 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
Note: This is a position for a fixed-term contract.
AI is the most transformational technology of our time, capable of tackling some of humanityu2019s 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 donu2019t think out of the box, but make the box they are in u2018Biggeru2019. 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 Alexau2019s 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 Associateu2019s Degree or related work experience
- CEFR C1+ or equivalent fluency in German 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
- Bacheloru2019s degree in a relevant field
- Proven 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
- Proven 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 ( ) 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
5
ML Senior Data Associate - Fluent in German Language,Artificial General Intelligence
London, London
Amazon
Posted 11 days ago
Job Viewed
Job Description
Description
Note: This is a position for a fixed-term contract.
AI is the most transformational technology of our time, capable of tackling some of humanityu2019s 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 donu2019t think out of the box, but make the box they are in u2018Biggeru2019. 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 Alexau2019s 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 Associateu2019s Degree or related work experience
- CEFR C1+ or equivalent fluency in German 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
- Bacheloru2019s degree in a relevant field
- Proven 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
- Proven 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 ( ) 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
Note: This is a position for a fixed-term contract.
AI is the most transformational technology of our time, capable of tackling some of humanityu2019s 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 donu2019t think out of the box, but make the box they are in u2018Biggeru2019. 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 Alexau2019s 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 Associateu2019s Degree or related work experience
- CEFR C1+ or equivalent fluency in German 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
- Bacheloru2019s degree in a relevant field
- Proven 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
- Proven 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 ( ) 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 for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
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6
ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence
London, London
Amazon
Posted 17 days ago
Job Viewed
Job Description
Description
Note: This is a position for a fixed-term contract.
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 German 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
- Proven 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
- Proven 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 ( ) 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Note: This is a position for a fixed-term contract.
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 German 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
- Proven 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
- Proven 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 ( ) 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
7