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
The interviewer kept interrupting, so be ready to handle that. Other than that, the three interviews were quick and focused on the position, linguistics in general, and behavioral questions.
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
It was a very long interview; I was interviewed by five people. About three of the interview focused on linguistics knowledge, and the remaining two were behavioral questions (about Leadership Principles).
ML Data Linguist
Santa Clara, California, United StatesJuly 10, 2025The interviewer kept interrupting, so be ready to handle that. Other than that, the three interviews were quick and focused on the position, linguistics in general, and behavioral questions.
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 StatesJanuary 18, 2023It was a very long interview; I was interviewed by five people. About three of the interview focused on linguistics knowledge, and the remaining two were behavioral questions (about Leadership Principles).
