Amazon Senior Data Associate Italian 

Poland, Pomeranian Voivodeship, Gdansk 

487985900

Key job responsibilities
• Maintain and follow strict confidentiality as customer privacy is our biggest tenet
• Work with a range of different types of data including but not limited to text, speech, image, and video• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos
• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
• Eye for detail and ability to pivot from one category of requirement to another instantaneously.
• Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
• Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
• Demonstrate ownership in floor support to clarify internal queries during execution on need basis
A day in the life
We 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.

• Fluent proficiency in Italian language, including grammar and spelling (both written and spoken).
• Comfortable working speech from various dialects and accents of one or more of the following regional languages: Italian
• Business proficiency (B1+) in English language.
• High-School or equivalent diploma.
• 2+ years of professional work experience with demonstrated task execution ability
• Excellent computer skills, including MS Office, with good typing speed (> 50 wpm and above)
• Proven capacity to leverage open-source resources effectively for comprehensive research purposes
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
• A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential

• Bachelor’s degree in a relevant field or equivalent professional experience.
• Exposure to culture/communication, prior experience in Machine learning domain will be an added advantage
• Ability to work across multiple teams and multi-task on programs