ML Senior Data Associate

ML Senior Data Associate - Fluent in German Language, Artificial General IntelligenceJob ID: | Evi Technologies LimitedNote: This is a position for a fixed-term contract.AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human‑technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read onKey Job ResponsibilitiesMaintain and follow strict confidentiality as customer privacy is our biggest tenetWork with a range of different types of data including but not limited to text, speech, image, and videoDeliver high-quality labelled data, using guidelines provided to meet our KPIs and using in‑house tools and softwareAssume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotationMake logical decisions while performing tasks even when provided information is ambiguousEye for detail and ability to pivot from one category of requirement to another instantlySupport daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the teamHandle end‑to‑end data execution process related to labeling the tasks with reduced reliance on work instructionsContribute to root‑cause analysis, identify error patterns and propose solutions to improve quality of labeling tasksIdentify day‑to‑day process and operational issues in SOP, tools and suggest changes to unblock operationsTake ownership of floor support to clarify internal queries during execution on a need basisA Day in the LifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.Your ability to concentrate, multi‑task and your high attention to detail helps you deliver high‑quality work as well as maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.About the TeamThe team works strictly in the office Monday through Friday with an eight‑hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.Basic QualificationsAn Associate's Degree or related work experienceCEFR C1+ or equivalent fluency in German languageWritten and spoken knowledge of English is essential (CEFR C1+)Strong business writing skills with ability to create reports, proposals, and professional correspondenceAdvanced reading comprehension with ability to analyze complex business documentsDeveloped analytical thinking and structured problem‑solving capabilitiesStrong ability to interpret and implement detailed instructions across various projectsProficient research skills with experience gathering and synthesizing information from multiple sourcesProven attention to detail in managing complex tasks and documentsPreferred QualificationsBachelor's degree in a relevant fieldProven experience with demonstrated task execution abilityProven capacity to leverage open‑source resources effectively for comprehensive research purposesAbility to adapt well to fast‑paced environments with changing circumstances, direction, and strategyProven project coordination or management experience (for support functions teams)Experience managing stakeholder relationships across departmentsAdvanced proficiency in Microsoft Office Suite and common business applicationsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and