Bilingual Audio Evaluation Expert (Dutch)

You will listen to short Dutch speech clips generated by AI models and assess whether they sound natural and fluent. Your reviews will help improve how AI systems produce Dutch speech.

You will document clear findings, follow project guidelines, use online review and submission tools, and work with quality assurance leads to keep evaluations consistent. You may also respond to clarification requests about your assessments.

• Evaluate Dutch pronunciation, grammar, fluency, and overall linguistic authenticity.
• Review regional Dutch language characteristics and other language details.
• Record concise, constructive feedback about errors and areas for improvement.
• Submit assessments through online documentation and review platforms.

What it pays and takes

Previous AI training experience is not required, but careful language judgment and strong written feedback are important.

• Pay: $30 to $65 per hour.
• Work arrangement: Remote, part-time contract work.
• Location: Open to candidates in multiple countries across Europe, the Americas, Asia, Africa, and the Middle East.
• Language: Professional fluency in Dutch and English, with English at B2 level or higher.
• Knowledge: Strong understanding of regional Dutch language variation.
• Skills: Careful analysis of speech and language, clear communication, attention to detail, and comfort using online review and documentation tools.
• Helpful background: Linguistic evaluation, language teaching, translation, editorial work, or another language-focused field.

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 4 screening questions.

About AI training work

AI training is the human work behind systems that learn from examples, including reviewing speech, text, images, and model responses. Language specialists are paid to assess these examples carefully so AI systems produce more accurate and useful results.