Bi-Lingual MLDA II Language Spec. Turkish – Virtual, US

• Fluency in Turkish
• Bachelors Degree or 1-2 year business experience
• Detail Oriented
• Effective Communicator
• Customer service experience
• Experience working in complex and frequently ambiguous spaces; making sense of customer need and being able to frame that as clear requirements.

Job summary

Bi-Lingual MLDA II Language Spec. Turkish – Virtual, US

Candidates must be fluent in Turkish 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 – Turkish Language Specialist to drive Turkish to English and English to Turkish 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 Turkish 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 get your hands dirty analyzing 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 frontline operations.

• Fluency in Turkish
• Bachelor’s Degree or 1-2 years of business experience
• Project planning experience, including project scoping, deadline-setting, backlog maintenance, reporting
• Practical knowledge of data processing needs and trade-offs.
• Experience working with machine learning / AI / natural language understanding data

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.