English-Speaking Audio Evaluation Coach

You will listen to short English audio recordings and assess whether each one sounds natural for its intended accent or region. You will use project guidelines to make consistent judgments and explain your decisions clearly.

Your feedback will help evaluate spoken English for AI training. The work requires careful listening, strong language judgment, and attention to small differences in pronunciation, tone, fluency, and speech patterns.

• Listen to and evaluate short English audio recordings.
• Assess pronunciation, accents, fluency, tone, and natural speech patterns.
• Identify inconsistencies or unnatural elements in spoken English.
• Provide clear, structured written feedback on audio quality.
• Follow evaluation guidelines and maintain accuracy across recordings.

What It Pays and Takes

This is a remote, part-time contract role for candidates in the United Kingdom. No prior experience is required, but you need strong English expertise and the ability to assess natural speech carefully.

• $40 to $65 per hour.
• Open to candidates in the United Kingdom.
• Professional fluency in English.
• Strong knowledge of a natural or regional English accent.
• A strong understanding of pronunciation and natural speech patterns.
• Excellent listening, analytical, and attention-to-detail skills.
• Ability to communicate feedback clearly in English.
• Ability to work independently in a remote contract setting.
• Experience in voice coaching, voice-over, speech analysis, linguistics, phonetics, language teaching, media, communications, music, audio engineering, or sound production may be useful.
• Previous experience analyzing or evaluating speech or audio recordings may be useful.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind systems that understand and generate language, images, audio, and other content. People review examples and provide careful feedback so these systems can learn how language should sound and respond.