Clara AI's language proficiency assessment detects language requirements in a job description, builds a test into the interview, and produces a scored result in the candidate report. It runs inside a single call, without any extra process or separate assessment step.

Most hiring processes that require a specific language level handle it informally. A recruiter asks a few questions, forms a judgment, and moves on. The result varies by interviewer, leaves no evidence, and doesn't scale.

How the trigger works

When a job is created, Clara AI scans the requirements for language keywords: "Must speak English," "Fluent in German," "Nivel B2 de inglés."

It detects the target language and builds a proficiency checkpoint directly into the interview structure.

No setup required. If the requirement is in the job description, Clara AI finds it.

The mid-call switch

When the interview reaches the language checkpoint, Clara AI transitions naturally. If the call is in English but the role requires French, Clara asks the candidate if they can switch to French and continue in that language.

The candidate responds in French, Clara AI evaluates the response, then returns to English to close the interview.

One call. Two languages. One scored result.

When the interview is already in the target language

If the interview language and the required language match, Clara AI analyses the entire conversation instead: syntax, vocabulary range, coherence, fluency.

The proficiency score comes from the full transcript, with no separate question and no disruption to the interview.

What the report shows

The result appears as a requirement line in the candidate report. It shows a Pass/Fail outcome, a score from 1 to 100, and a written evidence note — for example: "Candidate demonstrated fluid conversation but struggled with technical vocabulary."

If you specified a CEFR level in the job description (B2, C1), that becomes the benchmark. If not, Clara AI tests for functional fluency.

Seven languages, any combination

This is not an English-only feature. Clara AI supports Spanish, German, French, Portuguese, Italian, Dutch, and English, in any direction.

A German warehouse hiring for Polish speakers, a Portuguese client screening for English fluency, a US company hiring Spanish-speaking operatives. The same logic applies.

If a candidate declines to switch languages, the requirement is automatically marked as failed, with the reason recorded.

Turning it off, or making it optional

Language requirements can be removed or set to optional during the job setup review. If you want language skills as a preference rather than a filter, one change in the requirements panel handles it.

Screening for language proficiency used to mean booking a separate call or trusting a recruiter's gut. Clara AI makes it a standard part of every interview, with consistent scoring and a written trail.

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