Bilingual Expert (French) Audio Evaluation

The work

You will evaluate French audio clips and model speech to help improve how AI understands and produces French. Your reviews will focus on whether speech sounds natural, fluent, and linguistically accurate.

You will follow established guidelines, give clear language judgments, and explain the reasons behind them in concise English feedback.

• Listen to French audio and assess fluency, naturalness, and linguistic authenticity.
• Evaluate pronunciation, intonation, enunciation, and other detailed speech qualities.
• Write concise feedback in English and explain the language factors behind each judgment.
• Clarify ambiguous language content when needed and complete audio reviews accurately and on time.

What it pays and takes

This is a remote, part-time contractor role open to candidates in the countries specified for the project. The work suits people who can notice small differences in speech and explain them clearly.

• Pay: $30 to $65 per hour.
• Work type: Remote, part-time contract work.
• Language: Professional fluency in French with clear enunciation.
• English: At least B2 proficiency for written and verbal communication.
• Requirements: Strong attention to detail and excellent written and verbal communication.
• Helpful background: Voice work, linguistics, phonetics, music, audio engineering, audio analysis, transcription, linguistic assessment, media, communications, or teaching.
• Useful experience includes evaluating speech, analyzing audio, transcribing recordings, or assessing linguistic quality.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.

About AI training work

AI training is the human work behind systems that understand language and speech. People review examples, rate model outputs, and explain quality differences so AI systems can improve; specialized language and audio skills are valuable for this work.