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AI Recruiting Software: 11 Best AI Hiring Tools

AI Recruiting Software: 11 Best AI Hiring Tools

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Nischal V Chadaga
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November 24, 2023
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3 min read
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In today’s dynamic business landscape, organizations are constantly seeking ways to optimize their talent acquisition strategies to attract and retain top performers. The traditional way of hiring takes a lot of time because there are many manual tasks involved. Another problem is that when people judge candidates, it can be biased. These issues, along with others, make traditional hiring methods less effective.

Powered by cutting-edge machine learning algorithms, AI recruiting software is transforming the hiring process. These softwares are automating repetitive tasks, providing data-driven insights, and ensuring unbiased candidate selection.

In this article, we will delve uncover:

  • The transformative impact of AI recruiting software
  • How AI recruiting software can streamline your recruitment efforts

What is AI recruiting software?

AI recruiting software is an innovative technology designed to automate and optimize various aspects of the hiring process. It leverages machine learning algorithms and natural language processing to analyze and interpret vast amounts of data. Plus, you can automate the process of screening resumes, job descriptions, social media profiles, and more.

The benefits of AI recruiting software

AI recruiting software offers numerous benefits that can significantly improve your hiring process. It can automate tasks, analyze data, and provide insights. By leveraging AI, companies can identify the right candidates faster, reduce hiring costs, and improve overall talent acquisition outcomes. Let’s delve into some of its key advantages:

Benefits of AI recruiting software

1. Enhanced efficiency

Think about the usual way companies hire new people – it often involves doing the same things over and over, taking up a lot of time. AI recruiting software is like a smart assistant for recruiters, automating these repetitive tasks. This automation not only saves time but also enhances overall efficiency, allowing recruiters to allocate their efforts more effectively.

2. Improved candidate matching

By incorporating multifaceted criteria such as skills, experience, qualifications, and cultural fit, these AI solutions transcend traditional methods. This approach ensures a more nuanced and accurate selection process. This helps in bringing qualified candidates who align with the company culture.

3. Bias-free recruiting

Traditional recruitment processes are often susceptible to unconscious biases, which can lead to unfair and discriminatory practices. AI recruiting software minimizes the impact of bias by relying on objective data and algorithms. It assesses candidates solely based on their qualifications, skills, and experience, ensuring a fair and unbiased recruitment process. An AI-driven objective assessment process fosters a more diverse and inclusive workforce by eliminating biases.

4. Create a personalized candidate experience

AI-powered tools can personalize the hiring process for each candidate, enhancing their overall experience and improving the company’s brand reputation. They can analyze candidate data and preferences, enabling a tailored approach to communication and interactions throughout the hiring process.

Instead of generic emails and mass communications, candidates receive personalized messages, relevant information about the company and the role, and prompt responses to their questions or concerns.

Companies that prioritize personalized hiring experiences reap the rewards of an enhanced brand reputation. When candidates feel valued, respected, and well-informed throughout the hiring process, they are more likely to share positive experiences with their networks, leaving a favorable impression of the company.

Also, read: 6 Must Track Candidate Experience Metrics to Hire Better

How does AI hiring tool works?

AI hiring tool operates using a systematic approach that incorporates machine learning and natural language processing. Recruiters use AI in recruitment for planning, analyzing, and organizing redundant tasks. Each industry-specific softwares might work differently but we can get an overview of how it works. Here’s a step-by-step breakdown:

Step 1: Resume parsing

It begins by parsing resumes to extract relevant data such as contact information, skills, education, and work history. An AI-driven recruiting platform uses natural language processing algorithms to read and interpret resumes efficiently.

Step 2: Candidate screening

Once the resumes are parsed, the software analyzes them based on predefined criteria and keywords. It compares the candidates’ qualifications and skills with the job requirements, filtering out those who do not meet the specified criteria.

Step 3: Candidate ranking

After the initial screening, AI recruiting software ranks the candidates based on their suitability for the position. The ranking is determined by comparing their skills, experience, and qualifications against those of the ideal candidate.

Step 4: Interview scheduling

Using automated scheduling functionalities, AI recruiting software schedules interviews with the shortlisted candidates. It considers the availability of both the candidate and the interviewer, eliminating the need for endless email threads and time-consuming coordination.

Step 5: Performance analysis

AI hiring tool tracks and analyzes the performance of hired candidates over time. It assesses the quality of their work, their retention rates, and their overall fit within the organization. This feedback loop helps improve the software’s algorithms and ensures continuous optimization.

Also, read: How AI is Transforming the Talent Acquisition Process in Tech?

11 Best AI Recruiting Software to Use in 2025

If you’re considering adopting AI hiring tool, it might be daunting at first. It can feel overwhelming with so many options out there, each claiming to be the best. This makes choosing the right tool trickier. That’s why, we’ve put together a list of the top 10 AI recruiting softwares:

Different AI recruiting tools you can use and streamline your hiring process

1. HackerEarth

HackerEarth is an end-to-end tech hiring platform, with products that span the entire gamut of tech recruiting needs. It helps with:

  • sourcing global tech talent via Hackathons,
  • assessing and shortlisting candidates via its Assessment and FaceCode platforms
  • upskilling and bridging skill gaps via its Learning and Development platform

HackerEarth Assessments

HackerEarth Assessments is an AI-driven coding test platform where tech recruiters can create custom, role-based take home assessments for screening candidates. It has a library of over 20,000 questions, which can be used to create coding assessments for 18+ roles and 900+ skills. The test creation process takes about 5 minutes, and the platform has built-in proctoring features which ensure that every test is plagiarism free.

Once the candidate has submitted their test, it is automatically evaluated and benchmarked by the Assessments tool.

Next, a report is generated, which evaluates the candidate’s performance compared to others in the same category. This helps TA teams and engineering managers shortlist candidates accurately, and choose only the ones who show the requisite skills.

FaceCode

The shortlisted candidates are then moved to the interview round which can be conducted using FaceCode.

With FaceCode’s collaborative code editor, you can:

  • see candidates coding in real time
  • provide them with feedback and guidance as they work through problems

It’s like having a pair programming session with each candidate, giving a deeper understanding of their problem-solving skills and coding abilities. Additionally, FaceCode’s built-in question library offers a wide range of coding challenges, from basic algorithms to complex data structures. This ensures that you can assess candidates’ skills across a variety of domains, and find the perfect fit for your open positions.

Furthermore, FaceCode’s HD video chat and diagram board allow you to connect with candidates on a personal level and delve deeper into their thought process. It’s like having a face-to-face interview, but without the hassle of scheduling and logistics. All in all, FaceCode’s AI-powered insights help you make informed hiring decisions. The interview recordings and transcripts allow you to revisit key moments at any time and ensure you never miss a crucial detail.

HackerEarth’s Learning and Development

Lastly, HackerEarth’s Learning and Development platform uses AI-driven curated learning paths to help tech teams upskill and bridge existing skill gaps via continuous learning and assessments.

2. Manatal

Manatal is an AI-powered hiring tool that automates and streamlines the entire hiring process, from sourcing and screening to onboarding and engagement. Its AI capabilities enable companies to identify the best-fit candidates, automate repetitive tasks, and make informed hiring decisions. With Manatal, you can ditch the endless piles of resumes and spend your time on what matters most – talking to qualified candidates. Its AI-powered system scans through thousands of resumes and social media profiles to find the best fit for your open positions. It’s like having a superpowered search engine that knows exactly what you’re looking for.

3. Workable

Workable is a popular recruitment management system (RMS) that seamlessly integrates AI to enhance its functionality. Its AI-powered features include candidate ranking, resume parsing, and interview scheduling, making the hiring process more efficient and effective. It helps you filter out the noise, using smart algorithms to identify the most qualified candidates for your needs. It’s like having a built-in screening system that saves you hours of manual resume review.

4. Humanly

At the heart of Humanly is its intelligent chatbot, your 24/7 customer support companion. This AI-powered assistant understands and responds to customer queries promptly and effectively, offering real-time assistance and resolving issues in a jiffy. No more endless menus or frustrating hold times – Humanly puts your customers first. Powered by cutting-edge natural language processing and machine learning, it effortlessly integrates with your existing systems to deliver personalized and efficient customer experiences.

5. Fetcher

Fetcher is like having a personal sourcing assistant at your fingertips. No more wading through endless databases or spending hours crafting generic outreach messages. Fetcher does all the heavy lifting, delivering you curated batches of diverse, top-notch candidates who align perfectly with your job requirements. Hence, you are left with more time to engage with candidates, build relationships, and create a positive candidate experience. Fetcher’s cost-effective solution puts the power of talent sourcing back into your hands, giving you complete control over your recruitment budget.

6. Eightfold AI

Imagine having a personal hiring assistant who can match candidates to open roles with uncanny precision, and encourage the candidates to to apply for those roles. That’s the power of AI-powered recruitment software like Eightfold. With Eightfold’s AI, candidates can see a clear picture of their potential fit within an organization. They can see which roles align with their skills and experience, and why they’re a good match for those roles.

Eightfold’s AI goes beyond just matching resumes to job descriptions. It delves deeper into a candidate’s skillset, experience, and career aspirations to identify hidden gems who might not be found through traditional keyword searches. It’s like having a superpowered resume scanner that can read between the lines and uncover the true potential of each candidate.

7. LinkedIn Recruiter

Imagine having a direct line to the most qualified candidates in your industry, without having to spend hours sifting through endless resumes. That’s the magic of LinkedIn Recruiter, a powerful recruitment tool that turns the tables and puts you in the driver’s seat of the hiring process. With LinkedIn Recruiter, you’re not just waiting for candidates to apply; you’re actively seeking them out, using advanced search filters and smart algorithms to uncover the hidden gems of the talent pool. It’s like having a built-in talent radar that guides you straight to the best people for your open positions.

Additionally, LinkedIn Recruiter provides you with a wealth of information about each candidate, giving you a deeper understanding of their skills, experience, and career aspirations. You can see their LinkedIn profiles, view their work history, and even read their recommendations. It’s like having a personal talent profiler who can provide you with insights that go beyond a mere resume.

8. Eva.ai

Imagine having a personal hiring assistant who can automate tasks, find the best candidates, and even schedule interviews. That’s the magic of Eva AI. It’s like having your own personal HR department, but without the hefty price tag. Eva AI uses conversational AI to streamline the hiring process, taking care of repetitive tasks like sourcing candidates, scheduling interviews, and sending reminders. It’s like having a team of tireless assistants working behind the scenes, freeing up your time to focus on the real human connection of interviewing. In simple words, Eva AI’s AI-powered algorithms can scan through thousands of resumes and social media profiles to find the best fit for your open positions. It’s like having a built-in resume screening system that saves you hours of manual review.

9. Findem

Imagine having a hiring superpower that lets you see beyond resumes and uncover the hidden gems of the talent pool. That’s Findem, an AI-powered talent acquisition platform that’s transforming the way businesses hire. With its vast data network and sophisticated algorithms, Findem’s AI goes beyond traditional keyword searches to identify candidates based on their unique attributes and experiences. It’s like having a built-in talent radar that can pinpoint the perfect match for your open positions, even if they’re not actively looking for a job.

But that’s not all. Findem doesn’t just find candidates. It also provides insights into their skills, experience, and career aspirations, helping you make informed hiring decisions. It’s like having a personal talent profiler who gives you a detailed understanding of each candidate’s potential.

10. HumanTelligence

With Humantelligence, you can say goodbye to guesswork and subjectivity in hiring. Its AI-powered system analyzes candidates’ behaviors and experiences to identify those who will thrive within your unique company culture. It’s like having a built-in cultural compatibility scanner that helps you find the perfect fit for your team. Humantelligence doesn’t just stop at finding the right people; it also helps you accelerate onboarding and ensure diversity of thought. Its insights and tools help you create a smooth transition for new hires and foster an inclusive environment where everyone feels valued and respected.

It’s like having a cultural integration specialist who sets your team up for success. So, if you’re ready to ditch the traditional hiring hassles and build a team that’s not just skilled but also culturally aligned, give Humantelligence a try. It’s like having a secret weapon that turns hiring from a gamble into a strategic advantage.

11. HiredScore

Imagine having a hiring assistant who can help you find the best candidates, keep your team unbiased, and even optimize your job postings for inclusivity. That’s the power of HiredScore, an AI-powered recruitment platform that’s revolutionizing the way businesses hire. With HiredScore, you can say goodbye to guesswork and biases in hiring. Its sophisticated AI algorithms analyze thousands of data points to identify candidates who are not just qualified but also a good fit for your company culture. It’s like having a built-in bias detector that helps you make informed hiring decisions based on objective criteria.

Additionally, HiredScore’s D&I analytics provide valuable insights into your hiring process, helping you identify and address any potential biases. This data-driven approach ensures that you’re attracting and hiring the best talent, regardless of background or identity. It’s like having a diversity and inclusion consultant who helps you create a fair and equitable hiring process that promotes a culture of belonging for all.

Selecting the Right AI Recruiting Software for Your Needs

With so many AI recruiting software solutions available, choosing the right one for your organization can be a daunting task. Here are some factors to consider when making your decision:

Company size and hiring volume

Consider the size of your company and the volume of your hiring needs. Some AI recruiting software solutions are designed for small businesses with limited hiring needs, while others are better suited for large enterprises with high-volume hiring.

When selecting AI recruiting software, it’s important to assess the scale of your company and the magnitude of your hiring requirements. Tailored solutions exist to accommodate the distinct needs of small businesses with limited hiring demands as well as large enterprises handling high-volume recruitment. AI tools designed for smaller enterprises often emphasize user-friendly interfaces, cost-effectiveness, and scalability, providing essential features without unnecessary complexity. On the other hand, solutions geared towards large enterprises are equipped with robust capabilities to handle extensive data sets, complex workflows, and diverse talent pools.

Industry and target candidates

Consider the industry you operate in and the type of candidates you are trying to attract. Some AI recruiting software solutions are specialized for specific industries or types of roles. Industry-specific AI recruiting software is designed to address the unique challenges and requirements of particular industries.

For instance, healthcare-focused AI recruiters may incorporate advanced skills matching algorithms that consider specialized certifications and clinical experience. Specialized AI recruiters can personalize outreach messages and engagement strategies to resonate with specific candidate pools, considering their industry knowledge, professional aspirations, and career goals.

Budget

Consider your budget and the pricing structure of different AI recruiting software solutions. For instance, a mid-sized enterprise aiming to enhance its talent acquisition strategy. The focus here would be on identifying a solution that balances between advanced features and budgetary constraints. A robust yet cost-effective AI platform, such as “SmartRecruit,” could be a prudent choice. Conversely, a larger corporation with substantial hiring needs might lean towards a more comprehensive solution like “Workday Recruiting,” which seamlessly integrates AI capabilities with its HR suite.

Also, read: 6 Steps to Create a Detailed Recruiting Budget (+ Free Template)

Ready to revolutionize your hiring process?

AI recruiting software is transforming the way organizations approach talent acquisition. Its automation capabilities, improved candidate matching, and unbiased selection processes make it an indispensable tool for modern recruiters. By leveraging AI recruiting software, you can save time, improve efficiency, and ultimately find the perfect candidates for your organization.

Beyond initial candidate screening, AI recruiting tools can continuously learn from hiring patterns, refining their algorithms to improve candidate matching over time. The utilization of chatbots and virtual assistants powered by AI streamlines communication with candidates, providing timely updates and feedback, fostering a positive candidate experience. In essence, AI recruiting software is a dynamic solution that not only optimizes resource allocation but also enhances the overall effectiveness of talent acquisition strategies.

As AI technology continues to advance, we can expect even more sophisticated and powerful AI-powered recruiting tools to emerge, further transforming the recruitment landscape. Organizations that embrace AI recruiting software will gain a significant competitive advantage in attracting and retaining the best talent, ensuring they have the right people in place to drive innovation, growth, and success in the years to come.

Frequently Asked Questions

Q.1. How AI can be used in recruitment?

AI analyzes job descriptions and resumes, engages with candidates to answer their queries during the hiring process, automates interview scheduling, evaluates candidate’s skills and even streamlines the onboarding process.

HackerEarth uses AI to evaluate tech candidate’s skills through coding assessment and automates interview scheduling and evaluates the code in real-time.

Q.2. Will AI replace recruiters?

No, AI cannot replace recruiters. It can automate certain aspects of the recruitment process which simply the manual efforts of recruiters and hiring managers. Recruiters can understand the hu8msan behavior and emotions, take complex hiring decisions, build relations with candidates and adjust their hiring approach based on the predictions — AI cannot do all of this.

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Author
Nischal V Chadaga
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November 24, 2023
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3 min read
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Vibe Coding: Shaping the Future of Software

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing c

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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