ML Data Associate Italian, OPTIMA Shopping

Description

Elevate the Shopping Experience with your language expertise...

Join the OPTIMA Shopping Operations team and be a driving force behind Amazon's world-class shopping experience. As a Data Associate, you'll play a critical role in elevating AI capabilities through rigorous data processing and analysis.

This is an office-based role in our Bucharest, Romania office, working Monday to Friday. Our office-based roles provide additional flexibility to work from home, with an expectation to attend the office a minimum 3 days per week. During the training period (first 6 weeks after starting date) attendance at the office will be required 5 days a week.

Join us in empowering OPTIMA Shopping to deliver a seamless, voice-activated shopping experience worldwide.


Key job responsibilities
o Process a variety of annotation and data analysis tasks, with exceptional efficiency and quality
o Meet or exceed key performance metrics like productivity, turnaround time, and data accuracy
o Apply your judgment to make informed decisions within established guidelines and procedures
o Contribute ideas to continually improve overall process efficiency and quality

Basic qualifications

- o Fluency in both English and Italian (minimum B2), with a special focus on writing and editing skills and a strong command of grammar
- o Proficiency in Microsoft Office (Word, PowerPoint and Excel)
- o High school diploma (Baccalaureate or equivalent)

Preferred qualifications

- o Strong analytical and critical thinking skills
- o Experience working in diverse teams

Amazon 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.