Bilingual Machine Learning Data Associate - German (Remote), Customer Engagement Technology
Amazon.com
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 self-service 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 associate-facing products powered through human-centered design. One of these solutions is a new translation system deploying neural machine translation technology (through AWS Translate models) that aims to support high-quality, real-time translations for up to 39 languages. By applying automated translations to text-based customer service channels (e-mail, chat, Message Us, and CS Chatbot), the product’s 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 German to drive German-to-English and English-to-German machine translation improvements in partnership with the Machine Learning team. Specifically, you will audit cross-language interactions on text-based 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 German speaker who also speaks English fluently, is extremely detail-oriented, an effective communicator, has demonstrated the ability to earn the trust of stakeholders across a cross-functional team of individuals, is data-driven, and has a strong eye for opportunities. You should be customer-obsessed 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
- Native-level translation and localization skills in German
- Proficiency in testing and content reading in German, with the ability to document outcomes in English for stakeholders
- Utilization of German 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 German 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, full-time 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 end-to-end customer experience
Our team is looking for a talented Machine Learning Data Associate (MLDA)- Specialist German to drive German-to-English and English-to-German machine translation improvements in partnership with the Machine Learning team. Specifically, you will audit cross-language interactions on text-based 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 German speaker who also speaks English fluently, is extremely detail-oriented, an effective communicator, has demonstrated the ability to earn the trust of stakeholders across a cross-functional team of individuals, is data-driven, and has a strong eye for opportunities. You should be customer-obsessed 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
- Native-level translation and localization skills in German
- Proficiency in testing and content reading in German, with the ability to document outcomes in English for stakeholders
- Utilization of German 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 German 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, full-time 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 end-to-end customer experience
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