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A global technology firm seeks a talented Machine Learning Data Associate (MLDA) - Specialist in Polish to improve machine translation from Polish to English and vice versa. Candidates should have strong attention to detail, proficiency in testing and proofreading in Polish, and fluency in both Polish and English. This role supports customer service processes and enhances the overall customer experience through machine learning innovations.
The Customer Engagement Technologies (CET) organization powers Customer Service (CS) by developing elegant customer- and CSA-facing products globally. These products offer effortless self-service and automated solutions to our customers. When customers prefer to interact with a human, we enable CSAs to effectively and elegantly solve customers’ issues using our associate-facing products powered by human-centered design. One of these solutions is a new translation system deploying neural machine translation technology (through AWS Translate models) that supports high-quality, real-time translations for up to 39 languages. By applying automated translations to text-based customer service channels (email, 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, regardless of the language the CSA speaks.
We are looking for a talented Machine Learning Data Associate (MLDA) - Specialist in Polish to drive Polish-to-English and English-to-Polish machine translation improvements in partnership with the Machine Learning team.
You will work with Program and Product Managers to determine opportunities for optimizing quality auditing and machine translation 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.
The successful candidate is a native Polish speaker who also speaks English fluently, is extremely detail-oriented, and an effective communicator, and has demonstrated the ability to earn stakeholders\' trust across cross-functional teams. The ideal candidate is data-driven and has a strong eye for opportunities. You should be customer-obsessed and comfortable 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 on front-line operations.
Key daily activities include but are not limited to:
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:
Omni MLDA is a division of Customer Engagement Technologies (CET), partnering with key stakeholders to:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: job duties for this position include safe work, effective communication, adherence to laws and company policies. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
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, please visit the Amazon accommodations page for more information. If the country/region you\'re applying in isn\'t 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 $32,700/year to $70,000/year. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total package. For more information, visit the Amazon benefits page.