Voice Actor (Arabic, Egyptian Dialect)

You will support AI training focused on Egyptian Arabic voice performance. The work combines audio recording or review with careful feedback on source materials and AI model outputs.

• Record or review audio materials in Egyptian Arabic.
• Review source materials and model outputs against project guidelines.
• Explain your judgments clearly so feedback can improve model behavior.
• Apply the same quality standards across repeated review tasks.

What it pays and takes

This is remote contractor work with flexible weekly hours over 1 to 3 months. Prior AI training experience is not required.

• Pay: $30 to $65 per hour.
• Estimated project earnings: $4,800 to $10,400, based on an OpenTrain assumption of 20 hours per week over the stated duration.
• Work type: Remote, part-time contractor work.
• Language: Fluency in Arabic, with expertise in Egyptian Arabic voice performance.
• Experience: Entry level; relevant professional, academic, or language expertise is useful.
• You should have strong written communication, careful attention to detail, and the ability to follow detailed instructions.
• You should be able to apply rubrics consistently and work independently on remote tasks.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.

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 learn from examples, including recorded audio, written feedback, and reviewed model outputs. People with strong language and subject knowledge help make those examples accurate and consistent.