AI Trainer applicants have rated the interview process at DataAnnotation with 2.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 44.8% positive. This is according to Glassdoor user ratings.
Candidates applying for AI Trainer roles take an average of 8 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at DataAnnotation overall takes an average of 5 days.
Common stages of the interview process at DataAnnotation as a AI Trainer according to 6 Glassdoor interviews include:
Skills test: 67%
Background check: 33%
Here are the most commonly searched roles for interview reports -
Several assessments, each of which took a great deal of time. The basic assessments were not difficult, but were extremely picky with details and time-consuming. I ended up with a total of three assessments. No actual interview, though.
Interview questions [1]
Question 1
Look at responses from chatbots and determine which is 'best'.
I applied online. The process took 1 week. I interviewed at DataAnnotation (California City, CA) in Jan 2024
Interview
Interview consisted of math and data skills as well as basic AI understanding. Questions asked about data analysis, data engineering, mathematical reasoning, mathematical deduction, and data synthesis. The interview was not complicated at all, but required a basic understanding of the above. Completely remote and asynchronous, did not talk to one person before getting hired.
I applied online. I interviewed at DataAnnotation (Bellingham, WA)
Interview
It was an online process on your own time. Had a pretty long timer to complete a few basic questions about myself and some straight forwards coding questions. Overall it was extremely easy for me.
Interview questions [1]
Question 1
To code a program that printed out a pyramid of '#'s with the size based on user input