Amazon

ML Data Linguist Interview Experience - United States

August 3, 2022

Positive ExperienceGot Offer

Process

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 questions, I believe) and the other on technical linguistics skills (like IPA transcription). The last few minutes were left for questions.

The interviewers are quite neutral, so don't expect a response from them after you say something.

If you applied for a language-specific role, they will ask you questions about your language.

Questions

Describe a time when you had to choose between meeting a deadline and upholding strict standards?

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Interview Statistics

The following metrics were computed from 6 interview experiences for the Amazon ML Data Linguist role in United States.

Success Rate

17%

Pass Rate

Amazon's interview process for their ML Data Linguist roles in the United States is very selective, failing most engineers who go through it.

Experience Rating

Positive50%

Neutral50%

Negative0%

Candidates reported having very good feelings for Amazon's ML Data Linguist interview process in United States.

Amazon Work Experiences

Not "Best Employer of the World"

ML Data Linguist • Current Employee

Los Angeles, California, United States

Pros: No one gets fired, so pressure is low.

Cons: Low compensation, little room for growth, and no actual scope of work for this role.

Not "Best Employer of the World"

ML Data Linguist • Current Employee

Los Angeles, California, United States

Pros: No one gets fired, so pressure is low.

Cons: Low compensation, little room for growth, and no actual scope of work for this role.

Would not recommend

ML Data Linguist • Former Employee

Berlin, Germany

Pros: Amazing team members. I was able to learn and grow and learn a lot from them.

Cons: Bad management. The pay is also really bad, and there are no growth possibilities. They never reflect on the work that’s being done or give any recognition. Three people left due to burnout.

Would not recommend

ML Data Linguist • Former Employee

Berlin, Germany

Pros: Amazing team members. I was able to learn and grow and learn a lot from them.

Cons: Bad management. The pay is also really bad, and there are no growth possibilities. They never reflect on the work that’s being done or give any recognition. Three people left due to burnout.

Friendly Culture, Limited Growth

ML Data Linguist • Current Employee

Gdańsk, Poland

Pros: - Friendly environment - Organization - Learn by doing culture

Cons: - Poor possibilities of career growth (depends on department) - Not the highest salary in the market

Friendly Culture, Limited Growth

ML Data Linguist • Current Employee

Gdańsk, Poland

Pros: - Friendly environment - Organization - Learn by doing culture

Cons: - Poor possibilities of career growth (depends on department) - Not the highest salary in the market

Not "Best Employer of the World"

ML Data Linguist • Current Employee

Los Angeles, California, United States

Pros: No one gets fired, so pressure is low.

Cons: Low compensation, little room for growth, and no actual scope of work for this role.

2.0
Not "Best Employer of the World"
ML Data Linguist • Current Employee
Los Angeles, California, United States
May 30, 2023
Pros: No one gets fired, so pressure is low.
Cons: Low compensation, little room for growth, and no actual scope of work for this role.

Would not recommend

ML Data Linguist • Former Employee

Berlin, Germany

Pros: Amazing team members. I was able to learn and grow and learn a lot from them.

Cons: Bad management. The pay is also really bad, and there are no growth possibilities. They never reflect on the work that’s being done or give any recognition. Three people left due to burnout.

1.0
Would not recommend
ML Data Linguist • Former Employee
Berlin, Germany
May 3, 2023
Pros: Amazing team members. I was able to learn and grow and learn a lot from them.
Cons: Bad management. The pay is also really bad, and there are no growth possibilities. They never reflect on the work that’s being done or give any recognition. Three people left due to burnout.

Friendly Culture, Limited Growth

ML Data Linguist • Current Employee

Gdańsk, Poland

Pros: - Friendly environment - Organization - Learn by doing culture

Cons: - Poor possibilities of career growth (depends on department) - Not the highest salary in the market

3.0
Friendly Culture, Limited Growth
ML Data Linguist • Current Employee
Gdańsk, Poland
May 2, 2023
Pros: - Friendly environment - Organization - Learn by doing culture
Cons: - Poor possibilities of career growth (depends on department) - Not the highest salary in the market

Amazon Interview Questions

Two Sum

Find two numbers in a given array that add up to a specific target value, and return their indices. Essentially, you need to efficiently locate the pair that satisfies the sum requirement.

Best Time to Buy and Sell Stock

You're given daily stock prices. Find the maximum profit you can make by buying and selling the stock once. You must buy before you sell.

ArraysDynamic Programming

Reorganize String

Rearrange the characters in a given string such that no two adjacent characters are the same. If such an arrangement is possible, return it; otherwise, return an empty string.

StringsGreedy AlgorithmsArraysStacksDynamic Programming

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