Bilingual Expert (Korean) for Audio Evaluation

You will listen to Korean audio clips and judge how natural and fluent the speech sounds, whether it comes from a person or an AI model. You will explain your decisions in clear English and help improve AI systems that understand and produce Korean.

• Evaluate Korean pronunciation, intonation, fluency, naturalness, and linguistic authenticity.
• Assess cultural context and other Korean language nuances using project guidelines.
• Write concise English notes and detailed reasons for each evaluation.
• Identify the language factors that support your judgment.
• Clarify unclear language content or requirements with project coordinators.
• Complete assigned audio reviews accurately and on time while applying quality standards consistently.

This is a remote, part-time contractor role. The work is open to candidates across countries in North America, Latin America, Europe, Asia, Africa, and the Middle East, including the United States and Canada.

• Pay: $30 to $65 per hour.
• Language: Professional fluency in Korean and English, including written and verbal communication.
• Requirements: Strong English writing, careful judgment, and the ability to explain language-quality decisions clearly.
• Requirements: Ability to notice subtle differences in pronunciation, intonation, fluency, authenticity, and cultural context.
• Requirements: Reliable deadline management and effective collaboration in a remote contractor engagement.
• Helpful background: Translation, linguistic quality evaluation, language instruction, content localization, AI, data annotation, or related language-quality projects.

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.

OpenTrain is where people find AI-training and data-labeling projects, build a profile, and apply. AI training is the human work behind AI systems, including reviewing audio and language so models can understand and generate better content.