Artificial Intelligence Engineer Tests

Roles

Artificial Intelligence Engineer

Tests

Overview

Tests

Start Using These Tests to Assess Your Artificial Intelligence Engineers

Intern Artificial Intelligence Engineer Screening Assessment

An initial screening to assess the technical skills of potential Intern Artificial Intelligence Engineer hires.

Python

Machine Learning

Deep Learning

Data Management

Programming Concepts

Problem Solving

30 mins

20 Questions

Standard

Intern Artificial Intelligence Engineer In-depth Assessment

An in-depth assessment to evaluate the technical and soft skills of potential Intern Artificial Intelligence Engineers.

Python

Machine Learning

Deep Learning

Data Management

Programming Concepts

Problem Solving

Analytical Reasoning

Collaboration

Written Communication

Verbal Communication

2 hours, 30 mins

45 Questions

Standard

Graduate Artificial Intelligence Engineer Screening Assessment

An initial screening to assess the hard skills of potential Graduate Artificial Intelligence Engineer hires.

Python

Java

Functional Programming

Machine Learning

Algorithms

Analytical Reasoning

Problem Solving

Data Analysis

Software Development Life Cycle

45 mins

20 Questions

Standard

Graduate Artificial Intelligence Engineer In-depth Assessment

A comprehensive assessment to evaluate the technical and soft skills of potential Graduate Artificial Intelligence Engineers.

Python

Java

Functional Programming

Machine Learning

Algorithms

Analytical Reasoning

Problem Solving

Data Analysis

Software Development Life Cycle

Collaboration

2 hours, 30 mins

45 Questions

Standard

Junior Artificial Intelligence Engineer Screening Assessment

A screening assessment designed to evaluate the hard skills of potential Junior Artificial Intelligence Engineers.

Python

Java

Scala

Machine Learning

Deep Learning

Data Management

Algorithms

45 mins

20 Questions

Standard

Junior Artificial Intelligence Engineer In-depth Assessment

A comprehensive assessment to evaluate the skills and capabilities of Junior Artificial Intelligence Engineer candidates.

Python

Java

Scala

Machine Learning

Deep Learning

Data Management

Problem Solving

Collaboration

Algorithms

Attention to Detail

2 hours, 30 mins

40 Questions

Standard

Artificial Intelligence Engineer (Mid-Level) Screening Assessment

A screening assessment designed to evaluate the hard skills of potential mid-level Artificial Intelligence Engineers.

Python

Java

Scala

Machine Learning

Deep Learning

Data Analysis

Data Science

Algorithms

Problem Solving

TensorFlow

Natural Language Processing

Computer Vision

45 mins

30 Questions

Advanced

Artificial Intelligence Engineer (Mid-Level) In-depth Assessment

An in-depth assessment designed to thoroughly evaluate the technical and soft skills of mid-level Artificial Intelligence Engineers.

Python

Java

Scala

Machine Learning

Deep Learning

Data Analysis

Data Science

Algorithms

Problem Solving

TensorFlow

Natural Language Processing

Computer Vision

Collaboration

Written Communication

Verbal Communication

Data Management

Analytical Reasoning

Critical Thinking

2 hours, 30 mins

45 Questions

Advanced

Senior Artificial Intelligence Engineer Screening Assessment

An initial screening to test the technical skills of potential Senior Artificial Intelligence Engineer hires.

Machine Learning

Deep Learning

Programming Concepts

Python

Java

Scala

TensorFlow

Apache Spark

Algorithms

Data Analysis

Systems Architecture

45 mins

20 Questions

Advanced

Senior Artificial Intelligence Engineer In-depth Assessment

A comprehensive assessment to evaluate the technical and soft skills of Senior Artificial Intelligence Engineer candidates.

Machine Learning

Deep Learning

Programming Concepts

Python

Java

Scala

TensorFlow

Apache Spark

Algorithms

Data Analysis

Systems Architecture

Problem Solving

Leadership

Collaboration

Verbal Communication

Written Communication

2 hours, 30 mins

50 Questions

Expert

Lead Artificial Intelligence Engineer Screening Assessment

An initial screening to test the technical skills of potential Lead Artificial Intelligence Engineer hires.

Machine Learning

Deep Learning

Natural Language Processing

Algorithms

Python

Java

CPP

45 mins

20 Questions

Advanced

Lead Artificial Intelligence Engineer In-depth Assessment

A comprehensive assessment to evaluate the skills and capabilities of potential Lead Artificial Intelligence Engineers.

Machine Learning

Deep Learning

Natural Language Processing

Algorithms

Python

Java

CPP

Data Management

Data Ethics

Problem Solving

Leadership

Collaboration

Critical Thinking

TensorFlow

Data Privacy

2 hours, 30 mins

45 Questions

Expert

Over 50,000 Candidates Can't Be Wrong

Overall I am very happy with the way this test is structured, specially adding the video at the end is an unique experience where it showcases my personality to the recruitment team.

Neeraj

Social media strategy analyst for global hotel company

Overall, it was a truly excellent interview. The quality of the questions, and the overall flow of the conversation were impressive. Despite being aware of my shortcomings in certain areas, I am satisfied of this interview.

Samuel

Marketing data analyst candidate at leading OTA

I like the way of getting into this new job i think its a very complete assessment i like it a lot! Thanks for the opportunity

Nicolas

Sales development rep for tech startup

Overall, I found the test to be well-designed and comprehensive, effectively assessing the relevant skills and knowledge required for the position. The questions were thought-provoking and challenged me to think critically.

Sami

Senior marketing manager candidate for leading SE Asia corporate

Our Customers Say

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

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