Bilingual Machine Learning Data Associate - Portuguese Remote Customer Engagement Technology
The Customer Engagement Technologies (CET) organization powers Customer Service (CS) by developing elegant Customer and Customer Service Associate (CSA) facing products globally. These products offer effortless selfservice and automated solutions to our customers. If customers prefer to interact with a human we enable CSAs to effectively and elegantly solve customers issues using our associatefacing products powered through humancentered design. One of these solutions is a new translation system deploying neural machine translation technology (through AWS Translate models) that aims to support highquality realtime translations for up to 39 languages. By applying automated translations to textbased customer service channels (email chat Message Us and CS Chatbot) the products vision is to remove language as a barrier and enable flexibility in the CS labor force. Ultimately Amazon will be capable of supporting customers anywhere around the world irrespective of the language the CSA is speaking.
Our team is looking for a talented Machine Learning Data Associate (MLDA) Specialist Portuguese to drive PortuguesetoEnglish and EnglishtoPortuguese machine translation improvements in partnership with the Machine Learning team. Specifically you will audit crosslanguage interactions on textbased channels review and assess the quality of the machine translations in each direction and inform on the highest priority machine translation improvement opportunities that will enhance the customer experience. You will work with Program and Product Managers to determine opportunities for optimizing the quality auditing and machine translations improvement processes augmenting the customer experience through product testing and executing the machine learning roadmap for the product. You will be part of a Global Product Management team whose innovations and strategies will influence what we build and how we surface information to solve customers issues globally.
A successful candidate is a native Portuguese speaker who also speaks English fluently is extremely detailoriented an effective communicator has demonstrated the ability to earn the trust of stakeholders across a crossfunctional team of individuals is datadriven and has a strong eye for opportunities. You should be customerobsessed and not afraid to analyze thousands of interactions. You are willing to experiment fail fast learn and iterate to improve. Furthermore you understand and account for the implications of your work on front line operations.
Key job responsibilities
Nativelevel translation and localization skills in Portuguese
Proficiency in testing and content reading in Portuguese with the ability to document outcomes in English for stakeholders
Utilization of Portuguese skills to support internal and external customers and related products
Competence in navigating various internal tools to understand the customer journey
Strong attention to detail and commitment to quality
Adaptability to work in a dynamic environment and willingness to change priorities on short notice
Must be fluent in Portuguese and English
A day in the life
Key daily activities include but are not limited to:
Localization/Translation
Testing various workstreams
Contact Reading in native language while documenting findings in English
Stakeholder management
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
Omni MLDA is a division of Customer Engagement Technologies (CET) partnering with key stakeholders to:
Automate customer service processes
Enhance the endtoend customer experience
Fluency in Portuguese and English (verbal and written communication)
1 years business experience in localization and translation
Strong attention to details
Exceptional communicational skills
Customer service experience
Experience working in complex and frequentlychanging environments
Ability to interpret customer need and being able to frame that as clear requirements
Project planning experience including project scoping deadlinesetting backlog maintenance and reporting
Bachelors Degree
Practical knowledge of data processing needs and tradeoffs
Experience working with machine learning Artificial intelligence natural language understanding data
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 youre applying in isnt 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 $32700/year in our lowest geographic market up to $70000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
IC
Apply Now
Apply Now
Our team is looking for a talented Machine Learning Data Associate (MLDA) Specialist Portuguese to drive PortuguesetoEnglish and EnglishtoPortuguese machine translation improvements in partnership with the Machine Learning team. Specifically you will audit crosslanguage interactions on textbased channels review and assess the quality of the machine translations in each direction and inform on the highest priority machine translation improvement opportunities that will enhance the customer experience. You will work with Program and Product Managers to determine opportunities for optimizing the quality auditing and machine translations improvement processes augmenting the customer experience through product testing and executing the machine learning roadmap for the product. You will be part of a Global Product Management team whose innovations and strategies will influence what we build and how we surface information to solve customers issues globally.
A successful candidate is a native Portuguese speaker who also speaks English fluently is extremely detailoriented an effective communicator has demonstrated the ability to earn the trust of stakeholders across a crossfunctional team of individuals is datadriven and has a strong eye for opportunities. You should be customerobsessed and not afraid to analyze thousands of interactions. You are willing to experiment fail fast learn and iterate to improve. Furthermore you understand and account for the implications of your work on front line operations.
Key job responsibilities
Nativelevel translation and localization skills in Portuguese
Proficiency in testing and content reading in Portuguese with the ability to document outcomes in English for stakeholders
Utilization of Portuguese skills to support internal and external customers and related products
Competence in navigating various internal tools to understand the customer journey
Strong attention to detail and commitment to quality
Adaptability to work in a dynamic environment and willingness to change priorities on short notice
Must be fluent in Portuguese and English
A day in the life
Key daily activities include but are not limited to:
Localization/Translation
Testing various workstreams
Contact Reading in native language while documenting findings in English
Stakeholder management
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
Omni MLDA is a division of Customer Engagement Technologies (CET) partnering with key stakeholders to:
Automate customer service processes
Enhance the endtoend customer experience
Fluency in Portuguese and English (verbal and written communication)
1 years business experience in localization and translation
Strong attention to details
Exceptional communicational skills
Customer service experience
Experience working in complex and frequentlychanging environments
Ability to interpret customer need and being able to frame that as clear requirements
Project planning experience including project scoping deadlinesetting backlog maintenance and reporting
Bachelors Degree
Practical knowledge of data processing needs and tradeoffs
Experience working with machine learning Artificial intelligence natural language understanding data
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 youre applying in isnt 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 $32700/year in our lowest geographic market up to $70000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
IC
Apply Now
Apply Now