Bilingual Expert (French) Audio Evaluation

You will review French audio clips and AI model outputs, then explain your judgments in clear written English. The goal is to assess how natural, fluent, and linguistically accurate each recording or output sounds.

• Listen to French audio and evaluate naturalness, fluency, and linguistic authenticity.
• Assess pronunciation, intonation, enunciation, and other detailed language features using project guidelines.
• Write concise feedback in English and explain the language factors behind each rating.
• Give consistent, detailed reasons for your judgments and clarify unclear language content when needed.
• Complete assigned audio reviews accurately and on time while maintaining strong quality standards.

This is a remote, part-time contract role.

• Pay: $30 to $60 per hour.
• Work type: Remote, part-time contract work.
• Location: Open to candidates in the countries listed for this role, including the United States, Canada, France, and the United Kingdom.
• Language: Professional fluency in French with clear enunciation, plus at least B2 English for written and verbal communication.
• Requirements: Strong attention to detail, excellent written and verbal communication, and the ability to explain subtle language differences clearly.
• Helpful background: Voice specialization, linguistics, phonetics, music, audio engineering, audio analysis, transcription, linguistic assessment, media, communications, or teaching.
• Related experience evaluating speech, analyzing audio, transcribing recordings, or assessing linguistic quality can help.

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.

AI training is the human work behind artificial intelligence, including reviewing audio and judging whether model outputs are accurate and natural. People with strong language or audio expertise are paid to make careful evaluations that help improve how AI understands and produces speech.