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DataAnnotation Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 83 interview experiences · FREE TO READ

1.8 Rounds average
Average Typical difficulty
44.6% Positive experience

Which role are you interviewing for?

15 roles · 83 reports

Candidate interview experiences

First-hand accounts from people who interviewed at DataAnnotation.

Showing 4 of 83
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AI Tutor

Other · nearly a year ago

Entry Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral Coding

The interview process seemed very automated and it was hard to know what was going on. It felt like no one was really in charge. I didn't get a clear idea of how they were picking people or what they were looking for. It would be better if they explained more about how they decide and made it feel more like a real conversation so candidates feel like their time was well spent.

Confirmed questions1 question
  • The process felt really random and like a waste of time.
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Content Editor

Other · nearly a year ago

Entry Average Positive experience Accept offer 2 rounds
Interview process
Take home Technical screen
Interview formats
Technical Coding

There wasn't really a formal interview, but there were a lot of tests to do. First, there was a big general test that tried to cover different parts of the job, like writing creatively, researching, understanding what you read, and entering and figuring out data. If you did okay on that, there was another test that was more like the usual tasks for an entry-level rating job.

Confirmed questions1 question
  • Can you write a short story without using AI or chatbots, incorporating the specified details?
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AI Trainer

Other · a year ago

Entry Difficult Negative experience No offer 2 rounds
Interview process
Take home
Interview formats
Technical

This experience was really frustrating and showed no respect for my time. It started with an assessment that was supposed to take an hour, but actually took way longer. It involved looking at AI chat prompts and responses, and I had to research and fact-check everything, which easily took 10+ minutes per question. If you pass, you move to a second assessment to get certified. This was also supposed to be around 45 minutes, but again, each question took 10-15 minutes or even up to 45 minutes with the necessary research for niche prompts. There was no progress bar, making it impossible to know how far along I was. I spent over 3 hours total and still don't know if I'm close to finishing. It ended after 13-15 questions. I'm writing this to save others from this. The estimated times are not accurate, and a progress indicator is needed.

Confirmed questions1 question
  • Can a priest in World of Warcraft use a specific mount?
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Software Engineer

Engineering · a year ago

Entry Difficult Positive experience No offer 3 rounds
Interview process
Recruiter call Technical screen Take home
Interview formats
Technical Coding Other

It started with an initial assessment that took about an hour and didn't involve any coding. After that, there were coding and core assessments. The core part was about comparing AI responses to prompts, and the coding part involved comparing two AI-generated codes, as well as showing your own problem-solving skills by writing actual code.

Confirmed questions4 questions
  • Rate the responses provided.
  • How would you compare the AI responses against the given prompts?
  • Compare the two AI-generated code snippets.

DataAnnotation Interview Questions

Quoted word for word from DataAnnotation interview reports.

Write a Python program to find the last digit of Pascal's triangle.

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What are the time and space complexities of this algorithm?

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Which answer correctly implements the FizzBuzz function?

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Given an example input file like '3 love 6 computers 2 dogs 4 cats 1 I 5 you', where numbers correspond to words and are arranged in a pyramid (1; 2 3; 4 5 6), identify the numbers at the end of each line (1, 3, 6) and use their corresponding words to form the message. Ignore other words. For the example, the message should be 'I love computers'.

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Write code to parse an input file and display it in a specific format that makes it readable.

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Write a story about a dancing green octopus, set on November 21st. Ensure the answer is not AI-generated.

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Can you identify which function yields the correct output from the given options?

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Formats, difficulty and experience

Across all 83 DataAnnotation interview reports.

Interview formats

Technical 37.1%
Coding 26.5%
Other 22.7%
Behavioral 10.6%
Presentation 3%

Interview difficulty

Easy 26.5%
Average 56.6%
Difficult 16.9%

Candidate experience

Positive 44.6%
Neutral 24.1%
Negative 31.3%

Reports by job function

Other 33
Engineering 25
Analytics 13
Marketing 7
Operations 3
Sales 1