Job
Description
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Amazon Physical Stores is more start-up than big-company, a group of entrepreneurial, perceptive, and creative leaders with innovation at our core. We re pushing the state of the art in helping customers shop in engaging, fast, and safe ways. To date we ve created stores that let you use an app to enter, take what you want from our fresh selection, and go (Amazon Go); a smart shopping cart that uses computer vision algorithms and sensor fusion to let you skip the checkout line (Amazon Dash Cart); and contactless services that let you pay, enter or identify yourself (Amazon One). CXQO Machine Learning Data Operations associates support the backend non-technical operation of Amazon Go Stores. Perform data collection tasks related to an Amazon device, application, or service. Execute tasks assigned to you on a daily basis by adhering to Standard Operating Procedures (SOPs) and predefined guidelines. Participate in process improvement to increase the quality, efficiency, and accuracy of your teams processes. Partner with your team manager when your work is delayed or blocked due to technical issues. Report issues with tools and software to the development team when necessary. Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying. . Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud. Inclusive Team Culture Here at AWS, it s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon ( diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Bachelors degree Knowledge of Microsoft Office products and applications Speak, write, and read fluently in English Work flexible shifts including night shifts/weekendsOK
