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AI Interviews: What They Are, How They Work, and How to Prepare

AI-powered interviews are replacing first-round phone screens. Here's what candidates and companies need to know about voice AI interviews, bias, and how to get the best results.

May 8, 20264 min readAI interviews, voice AI, recruitment technology, LIA, hiring automation

The Phone Screen Is Being Replaced

First-round interviews have always been a bottleneck. A recruiter can realistically conduct 6-8 phone screens per day. For a role that receives 200+ applications, that means weeks of screening before a hiring manager sees a single candidate.

AI interviews solve this by conducting structured first-round conversations at scale — 24 hours a day, 7 days a week, in multiple languages.

Companies like HireVue, Mercor, and Remotto are already deploying AI interviewers. But there's a lot of confusion about how they work, whether they're fair, and how to perform well in one.

How AI Interviews Actually Work

An AI interview isn't a chatbot asking "Tell me about yourself." Modern systems use a combination of:

Voice AI

The candidate has a real-time voice conversation with an AI agent. The agent asks questions, listens to responses, asks follow-ups based on what was said, and evaluates the conversation holistically.

At Remotto, our AI interviewer LIA conducts these conversations. She adapts her questions based on the role requirements and the candidate's responses — just like a skilled recruiter would.

Structured evaluation

Every candidate is asked questions from the same competency framework. This eliminates the inconsistency problem where Interviewer A asks about system design and Interviewer B asks about hobbies.

The AI evaluates responses against specific criteria:

  • Technical depth and accuracy
  • Communication clarity
  • Problem-solving approach
  • Alignment with role requirements

Transcript analysis

The full conversation is transcribed and analyzed. Hiring managers receive a structured report with key takeaways — not just a "pass/fail" but specific observations about strengths and development areas.

The Bias Question

The most common concern: are AI interviews biased?

The honest answer: AI can inherit bias from training data, but well-designed systems are measurably less biased than human interviewers.

Here's why:

  • Every candidate gets the same questions and evaluation criteria
  • The AI doesn't know the candidate's name, gender, age, or ethnicity during evaluation
  • There's no "similar to me" bias — the tendency for interviewers to prefer candidates who remind them of themselves
  • Evaluation criteria are explicit and auditable, unlike the intuition-based decisions most human interviewers make

This doesn't mean AI interviews are perfect. But a structured AI evaluation is more consistent than asking five different humans to each spend 30 minutes making subjective judgments.

For Companies: Why Switch to AI Interviews

Speed

An AI interviewer can conduct hundreds of interviews simultaneously. No scheduling, no calendar coordination, no no-shows wasting recruiter time.

Consistency

Every candidate gets evaluated on the same criteria. No more "the afternoon interviewer was in a bad mood" affecting outcomes.

Data

Instead of subjective notes, you get structured evaluations with specific scores across competencies. This makes it possible to actually compare candidates on equal terms.

Cost

A single recruiter spending 4 hours/day on phone screens at $35/hour costs ~$36,000/year just in screening time. AI screening handles that for a fraction of the cost.

For Candidates: How to Prepare

If you're about to take an AI interview, here's what actually matters:

1. Be specific, not general

AI evaluates substance. "I have experience with distributed systems" scores lower than "I designed a pub/sub system using Kafka that handled 50K events/second for a fintech payment pipeline."

2. Structure your answers

The STAR method works well for AI interviews: Situation, Task, Action, Result. The AI is analyzing your response for completeness and logical flow.

3. Don't try to game it

AI interviewers are trained to evaluate genuine competence, not rehearsed scripts. If you don't know something, say so and explain how you'd approach learning it. Honesty about gaps is valued higher than vague bluffing.

4. Speak clearly

Voice AI systems work best with clear speech at a moderate pace. Avoid long pauses or speaking over the AI — let it finish its question before responding.

5. Treat it like a real interview

The AI is evaluating you the same way a human would. Dress code doesn't matter, but your preparation should be identical.

The Future Is Hybrid

AI won't replace all interviews. Complex negotiations, cultural deep-dives, and final-round conversations still benefit from human judgment.

But the first round — the screening that determines who gets to the next stage — is where AI delivers the most value. It removes the bottleneck, reduces bias, and gives every candidate a fair shot regardless of when they applied or which recruiter happened to be available.


Want to see how AI interviews can transform your hiring pipeline? Start hiring with LIA or prepare with an AI-optimized CV from Currify.