Hiring developers remotely has created massive opportunities — but also new risks. One of the biggest challenges today is technical interview fraud: when candidates use tools, AI, or even other people to fake skills they don’t actually have.
At Parzr, we’ve seen this problem firsthand. Companies end up with developers who can’t deliver, frustrated teams, and projects that need to be rebuilt from scratch. That’s why we designed a process to stop it before it happens.
What is technical interview fraud?
Technical interview fraud happens when candidates misrepresent their skills during the hiring process. It’s not just about stretching the truth on a résumé — it’s about actively faking technical ability.
How does technical interview fraud happen?
Proxy interviews
The candidate being interviewed isn’t actually the one doing the work.
Hidden coaching through chat or earpiece
Split-screen setups where someone else solves problems off-camera
AI-assisted live tests
Tools like ChatGPT can solve coding challenges in real time. Answers may look correct but lack original thinking or explanation.
Copied portfolios and inflated experience
Some candidates showcase GitHub repos or case studies they didn’t build. When tested, they can’t explain the fundamentals.
Why does this matter?
Hiring someone who can’t actually perform creates consequences far beyond onboarding:
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Missed deadlines
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Team frustration
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Loss of trust
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Weeks or months of rework
It doesn’t just affect product quality — it impacts morale, collaboration, and even client retention.
The problem isn’t hiring fast. The problem is hiring wrong.
How Parzr prevents technical interview fraud
At Parzr, we’ve built a multi-layer process to detect and prevent fraud before it reaches your team:
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Real-world simulations: Secure tests replicating real work scenarios. No copy-paste, no external help. We evaluate thinking, not just answers.
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Asynchronous evaluations: Candidates record themselves solving problems on video. This exposes whether they truly understand the solution.
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Human-led technical reviews: Our experts analyze code, behavior, and consistency. We catch red flags like sudden skill shifts or coached answers.
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Anomaly detection tools: Proprietary + third-party tools identify AI-generated code, unusual communication, or suspicious behavior.
We don’t rely on résumés. We don’t trust automated quizzes. We focus on how people think, communicate, and solve real problems.
Final thoughts
Technical interview fraud isn’t always easy to spot — but it can be prevented. At Parzr, we combine experience, judgment, and proven methods to ensure you hire developers who can actually deliver.
👉 Want to see how we validate tech talent before recommending them? Let’s talk.
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