Machine Learning Data Linguist I Interview Experience - San Jose, California
Process
I had two interviews, each with a different Language Engineer. These individuals would take on an advisory role for my position but wouldn’t officially be the manager I’d report to.
They were both great people who made an excellent impression on me, demonstrating both strong personality and expertise.
Each interview lasted about an hour. The first 40 minutes were dedicated to testing crucial skills for the role, specifically annotation and designing annotation guidelines. The remaining 20 minutes focused on “behavioral” questions related to Amazon’s leadership principles.
Later, I received an offer with a salary much lower than I expected. Consequently, I asked to speak with the hiring manager to see if negotiation was possible.
Ultimately, I declined the offer due to the low salary and the low skill requirements of the position, as described by the hiring manager.
Questions
Tell me about a time you overcame a challenge at work.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Amazon Machine Learning Data Linguist I role in San Jose, California.
Success Rate
Amazon's interview process for their Machine Learning Data Linguist I roles in San Jose, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Amazon's Machine Learning Data Linguist I interview process in San Jose, California.
Amazon Work Experiences
- 3.0Great first jobMachine Learning Data Linguist I • Current EmployeeCambridge, Massachusetts, United StatesMarch 31, 2022Pros: Amazon is a world-recognized company.Cons: Unfortunately, salaries aren't high enough if you're an entry-level employee.
- 2.0Employees that they wish didn't existMachine Learning Data Linguist I • Former EmployeeJanuary 21, 2021Pros: - Name recognition - Interesting industry - Product recognitionCons: - Abysmal pay (considering the profits of Amazon) - Lack of representation - Little management interest in employee issues or work - Unequal treatment of employees (by title and person) - Some job groups showed clear favoritism - Unequal pay depending on when you entered
- 4.0Data processing job, but a lot to learn!Machine Learning Data Linguist I • Current EmployeeBoston, Massachusetts, United StatesNovember 11, 2020Pros: Great team, great starting position to get involved in NLP/voice assistants.Cons: It's hard to get support with such a huge company all around you. The messiness of a huge company is sometimes frustrating.
Amazon Interview Questions
