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Aside from the questions about the work and project experience on my resume, nearly 90% of the questions are behavioral questions. I don't remember every one of them (I was asked at least 10 behavioral questions, I guess nearly 20, throughout that 5 hour long virtual onsite), but here are some of them that I can remember: - Tell me about a time when you gave a simple solution to a complex problem. - Tell me about a time when you had to work with limited time or resources. - Tell me about a time you had too much on your plate to deal with and how you handled getting everything done. - Tell me about a time when you couldn’t meet your own expectations on a project. There was only one coding question, which is writing a simple English tokenizer in Python. Also there was some linguistic questions. One of them was given a sentence, answer the POS tag of each word, the dependency relations between words, and the syntax structure of the sentence, and also identify any semantic ambiguities. And there are some methodology questions like given a large uncleaned data set how do you evaluate the data quality; how do you keep track of the vendors annotation quality; how do you write a data annotation guideline, etc.
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Language Engineer

Interviewed at Amazon

3.5★
Apr 15, 2021

Aside from the questions about the work and project experience on my resume, nearly 90% of the questions are behavioral questions. I don't remember every one of them (I was asked at least 10 behavioral questions, I guess nearly 20, throughout that 5 hour long virtual onsite), but here are some of them that I can remember: - Tell me about a time when you gave a simple solution to a complex problem. - Tell me about a time when you had to work with limited time or resources. - Tell me about a time you had too much on your plate to deal with and how you handled getting everything done. - Tell me about a time when you couldn’t meet your own expectations on a project. There was only one coding question, which is writing a simple English tokenizer in Python. Also there was some linguistic questions. One of them was given a sentence, answer the POS tag of each word, the dependency relations between words, and the syntax structure of the sentence, and also identify any semantic ambiguities. And there are some methodology questions like given a large uncleaned data set how do you evaluate the data quality; how do you keep track of the vendors annotation quality; how do you write a data annotation guideline, etc.

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