Yes — you can interview a candidate who speaks a different language without booking an interpreter. A translation bot joins the call, the candidate answers in whatever language they're strongest in, each interviewer reads live captions in theirs, and afterward the whole panel scores from one translated transcript. But the reason to do it this way isn't just convenience — it's signal. A candidate forced to interview in a weak second language stumbles on the language, not the job, and you end up filtering for fluency you never meant to test. Letting them answer in their strongest language, with captions keeping the panel in sync, gets you a truer read of whether they can actually do the work. Here's how to run it so the interview measures the candidate, not their second language.
A second-language interview measures the wrong thing
When a strong candidate has to interview in a language they're not fluent in, the things that go wrong are language things. They lose the precise word, hedge an answer they actually know cold, talk slower than they think, and come across as less sharp than they are. None of that tells you whether they can do the job — it tells you how comfortable they are improvising in their second language under pressure, which for most roles isn't the thing you're hiring for. The risk is quiet but real: you start filtering for English fluency (or whatever the panel's language is) instead of the actual skill, and you pass on people who'd have been excellent. Letting the candidate answer in the language they think in removes that distortion. You hear the real reasoning, the real depth, the real objections — and you score the candidate you'd actually be hiring, not a stressed translation of them.
Per-person captions keep the panel in sync
The catch with letting a candidate use their strongest language is that the panel may not speak it. Per-person captions solve that: the candidate answers naturally, and each interviewer reads the same speech live in their own language, in about two seconds. Nobody on the panel is sidelined for not speaking the candidate's language, and nobody has to half-follow an answer and fill in the gaps later. Sageio translates into 20+ languages, so this isn't only for the big markets — it's whatever language your candidate is strongest in, read by interviewers in whatever languages they are strongest in. Everyone hears the answer at the same time, in their own words, instead of one person translating for the rest after the fact.
One translated transcript means everyone scores the same answers
The live captions get the panel through the interview; the transcript is what they score from. Within about five minutes of the call ending, a searchable translated transcript and an AI summary are ready — every answer, in writing, in each interviewer's language. That changes the debrief. Instead of three interviewers comparing three slightly different memories of what the candidate said, the whole panel scores against the same words. A hiring manager who couldn't make the call can read the actual answers rather than trust a second-hand summary. And because everyone is working from one record, the scoring is more consistent and more defensible — you can point to what was actually said when you compare candidates, rather than to who remembered the interview most generously.
Keep it fair and consensual
Be straight about what this is. The bot shows up as a visible participant in the call — it isn't hidden — so tell the candidate it's there and that it's translating so they can answer in their strongest language. That's worth doing for its own sake: it signals you've made the process accessible rather than making them carry the interview in a weaker language. Sharing of the transcript and summary is at the host's discretion, so it goes to the panel and the hiring manager you choose, not broadcast anywhere — this is about a fair read, not surveillance. The goal is to remove a language penalty that has nothing to do with the job, handled openly with the candidate's knowledge. For the fuller reasoning on letting a bot into a meeting at all, see is it safe to let an AI bot join your meeting.
How to do it with Sageio
- Add
bot@sageio.netto your Google Meet calendar invite. It joins on its own — no extension, nothing for the candidate to install. - Each participant picks their caption language. The candidate answers in their strongest language; each interviewer reads theirs — all from the same speech, at the same time. (Sageio translates into 20+ languages.)
- Run the interview normally. Translated captions appear in about two seconds, so the conversation keeps its pace.
- Afterward, a searchable transcript and an AI summary arrive within about five minutes, shared at the host's discretion — the panel debriefs from one record.
(Today this runs on Google Meet; Zoom and Microsoft Teams support is coming soon.)
How to test it before a real interview
Don't let a real candidate be the first time you see it work. Run a mock interview with a colleague playing the candidate in the language a real candidate will use — each of you set to the two languages the real interview will involve — and check two things. First, do the captions keep up with a full, unbroken answer, including the kind of detail and specific terms a candidate would actually use. Second, does the transcript read right to a native speaker of the candidate's language — would they recognise it as a real answer, not a stiff machine line? Five minutes of this tells you whether you're ready, and lets you fix the caption-language settings before a candidate is on the line.
Is it private?
For anything that joins your meetings: Sageio doesn't use your meeting content to train AI models, and its AI vendors are contractually restricted from doing the same. Audio is processed in memory and discarded — only the text transcript and summary are kept, encrypted, in the region you choose (US, EU, or APAC). Enterprise customers can self-host the entire stack.
Frequently asked questions
Do I need to tell the candidate there's a bot on the call? Yes. The bot joins as a visible participant — it's not hidden — so let the candidate know it's there and that it's translating so they can answer in their strongest language. It reads as making the process accessible, not as surveillance, and most candidates appreciate being told the interview is set up to give them a fair read.
Does the candidate have to install anything?
No. You add bot@sageio.net to the calendar invite from your side, and it joins the Google Meet on its own. The candidate just takes the call as they normally would — no extension, no account, no setup on their end.
What languages does it cover? Sageio translates into 20+ languages, so the candidate can answer in the language they're strongest in and each interviewer can read captions in theirs.
Does this bias the scoring, or make it fairer? The aim is the opposite of bias: it removes a language penalty that has nothing to do with the job. A candidate who'd otherwise stumble in a weak second language gets to answer in their strongest one, and the whole panel scores from the same translated answers rather than from differing memories — which tends to make scoring more consistent, not less.
What does it cost to try? Every plan starts with a free 60-minute trial, no credit card required. After that, Professional is $49/month and Teams is $99 per seat/month (annual billing includes 2 months free); Enterprise is custom-priced.
The next time you interview a candidate across a language line, you don't have to book an interpreter or make them carry the whole interview in their second language. Add the bot to the invite, let them answer in their strongest language while each interviewer reads their own, and debrief from one translated transcript. Try it on your next cross-language interview and see how much more of the real candidate comes through.