About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
ROLE OVERVIEW
We are looking for a Korean Speaker to evaluate machine-transliterated song lyrics. Your focus will be on assessing the quality and accuracy of the transliteration from Korean into other languages and you feedback will directly contribute to improving automated transliterated systems.
No prior experience is required to perform this role, just a good command of Korean speaking level (native-level or near-native). Full training will be provided.
MAIN RESPONSIBILITIES
- Review and assess machine-transliterated lyrics for meaning, fluency, and naturalness.
- Provide quality ratings based on predefined evaluation criteria.
- Identify and correct issues such as inaccurate transliterations and mistranslated words.
- Maintain consistent and objective judgment throughout the review process.
JOB REQUIREMENTS
- Native-level or near-native proficiency of Korean into other languages. Please see the list of languages when you apply.
- Great Korean linguistics skills, including expressions and cultural context.
- Excellent attention to detail.
- Be able to maintain concentration working on a large volume of content.
- While no previous experience is needed, experience in localization or linguistic evaluation will be a plus.
- Having a music interest will be very beneficial if you can differentiate genres and lyrical styles, but not mandatory.
- Experience using online evaluation tools or platforms will be an advantage.
PROJECT DETAILS
START DATE: ASAP
LOCATION: Remote
WORKING HOURS: Flexible (average of 4 hours per day)
EMPLOYMENT TYPE: Freelance
DURATION: Indefinitely
PAY RATE: $13 per hour
READY TO JOIN US?
This is a great opportunity to contribute to the evolution of AI and language technology, especially in the music space, while working flexibly remotely. You will gain experience in the growing field of linguistic evaluation and have the chance to work on a very exciting project that blends language, culture, and technology.
Job Reference: #LI-JC1
ROLE OVERVIEW
We are looking for a Korean Speaker to evaluate machine-transliterated song lyrics. Your focus will be on assessing the quality and accuracy of the transliteration from Korean into other languages and you feedback will directly contribute to improving automated transliterated systems.
No prior experience is required to perform this role, just a good command of Korean speaking level (native-level or near-native). Full training will be provided.
MAIN RESPONSIBILITIES
- Review and assess machine-transliterated lyrics for meaning, fluency, and naturalness.
- Provide quality ratings based on predefined evaluation criteria.
- Identify and correct issues such as inaccurate transliterations and mistranslated words.
- Maintain consistent and objective judgment throughout the review process.
JOB REQUIREMENTS
- Native-level or near-native proficiency of Korean into other languages. Please see the list of languages when you apply.
- Great Korean linguistics skills, including expressions and cultural context.
- Excellent attention to detail.
- Be able to maintain concentration working on a large volume of content.
- While no previous experience is needed, experience in localization or linguistic evaluation will be a plus.
- Having a music interest will be very beneficial if you can differentiate genres and lyrical styles, but not mandatory.
- Experience using online evaluation tools or platforms will be an advantage.
PROJECT DETAILS
START DATE: ASAP
LOCATION: Remote
WORKING HOURS: Flexible (average of 4 hours per day)
EMPLOYMENT TYPE: Freelance
DURATION: Indefinitely
PAY RATE: $13 per hour
READY TO JOIN US?
This is a great opportunity to contribute to the evolution of AI and language technology, especially in the music space, while working flexibly remotely. You will gain experience in the growing field of linguistic evaluation and have the chance to work on a very exciting project that blends language, culture, and technology.
Job Reference: #LI-JC1
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai