Great opportunities to learn new things and boost your career in linguistics with a tech approach
Great opportunities to learn new things and boost your career in linguistics with a tech approach
- Great benefits
- Guaranteed hours
- Great work environment and kind teammates
- Work-life balance
- Growth within the company. Amazon actively encourages you to improve and build your career path by including mentoring programs.
- WFH / On-site flexibility
- Several Affinity Groups that make you feel included and supported. At the same time, it gives you the chance to learn and stay in touch with different social causes (environmentalism, equality, animal protection, etc.).
The hiring process was lengthy when I first accepted the job. The amount of information you have to learn during the onboarding process could be kind of overwhelming, but it is part of starting a new job and stepping out of your comfort zone.
WFH improves associates' productivity and quality of life. Please consider extending this, when possible, to a permanent remote working model.
Thanks to remote working, we are creating an amazing culture of self-starting attitude, high levels of time management skills, and proactive communication.
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Amazon Interview Questions
Amazon Interview Experiences
ML Data Linguist
30-minute phone screening with the recruiter, which was very simple. This was followed by a 1-hour phone interview with the hiring manager, including some behavioral and position-specific questions. There may be one more final step after the 1-hour p
ML Data Linguist
The interview process consisted of two one-hour-long phone interviews. I interviewed with two language engineers who worked on adjacent teams. Both interviews were divided into two 30-minute halves: one spent on behavioral questions (STAR method que
ML Data Linguist
I was asked to complete a written assignment as a screener. After that, I was given a phone interview, which was a mix of behavioral and more technical questions. Next was a purely technical interview where they watched me work. All of the interview
ML Data Linguist
Cambridge, Massachusetts, United StatesNovember 19, 202330-minute phone screening with the recruiter, which was very simple. This was followed by a 1-hour phone interview with the hiring manager, including some behavioral and position-specific questions. There may be one more final step after the 1-hour p
ML Data Linguist
United StatesAugust 3, 2022The interview process consisted of two one-hour-long phone interviews. I interviewed with two language engineers who worked on adjacent teams. Both interviews were divided into two 30-minute halves: one spent on behavioral questions (STAR method que
ML Data Linguist
PortugalApril 3, 2022I was asked to complete a written assignment as a screener. After that, I was given a phone interview, which was a mix of behavioral and more technical questions. Next was a purely technical interview where they watched me work. All of the interview
