Virtual, Undisclosed, US
10 days ago
Virtual Bilingual Machine Learning Data Associate (US)- German
Virtual Bilingual Machine Learning Data Associate (US)- German

Candidates must be fluent in German and English.

In order for us to take your application into consideration you must live in one of the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Michigan, Mississippi, Missouri, Nebraska, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming.

What Does Customer Service Mean at Amazon?
Our mission is to be Earth’s most customer-centric company. To achieve this goal, Amazon Customer Service is seeking candidates who exemplify Customer Obsession and enjoy problem-solving on behalf of others. Our Amazon Leadership Principles (https://www.amazon.jobs/en/principles) are not just words on a screen – they are a driving force behind the decisions we make every day.

What Does This Role Entail?
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 the 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, and Message Us), 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.

What Does Amazon Need From Me?
Our team is looking for a talented Machine Learning Data Associate - 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 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 translation improvement processes, augmenting the product experience, 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 to front line operations.




A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

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

We are open to hiring candidates to work out of one of the following locations:

Virtual Location - USA
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