You will help improve AI systems by reviewing Korean and English text, checking language quality, and giving structured feedback. The work includes annotation, response evaluation, content review, and quality checks.
You will work asynchronously with project managers and other contributors while following detailed project guidelines and recording clear findings.
- Annotate and label Korean-language datasets according to project guidelines.
- Review long-form content, including multi-turn chat transcripts and comparative text assessments.
- Evaluate AI-generated responses in Korean and English for accuracy and clarity.
- Document feedback, findings, and recommendations that support better annotation and evaluation standards.
- Check linguistic data for errors and inconsistencies.
What it pays and takes
No previous AI experience is required when you have strong language and analytical skills.
- Pay: $20 to $45 per hour.
- Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, and Greece.
- Location: Also open in Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
- Language: Professional fluency in written and spoken Korean, including accurate Korean reading and writing.
- Language: Strong written and verbal English for detailed reports and professional discussions.
- Requirements: Careful reading, side-by-side comparison of lengthy texts, and consistent attention to detail when applying guidelines.
- Preferred: A bachelor's degree in any field or equivalent practical experience.
- Helpful experience includes data annotation, content moderation, linguistic analysis, AI evaluation, or technology-focused content review.
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 3 screening questions.
About AI training work
AI training is the human work behind systems that understand text and produce answers. Contributors label examples, review model responses, and explain what is accurate or unclear so AI systems can improve. OpenTrain helps people find these projects, build a profile, and apply in minutes.