English (United States) > Chinese (Simplified) Lyric Translation Reviewer

Welocalize; Myrtle Point (OR); Remote; USD 10,000 - 60,000; Part time

Job summary

A leading data solutions company is seeking a Lyric Translation Reviewer to assess machine-translated lyrics from English (US) to Chinese Simplified. This remote, freelance role requires native-level proficiency in both languages and strong attention to detail. You will provide quality ratings and help improve automated translation systems. The pay rate is approximately $5-$5.5 per hour with flexible hours.

Qualifications

• Native-level or near-native proficiency in English (US) and Chinese Simplified (China).
• Strong understanding of cultural context and idiomatic expressions.
• Ability to maintain concentration over large volumes of content.

Responsibilities

• Review and assess machine-translated lyrics for meaning, fluency, and naturalness.
• Provide quality ratings based on predefined evaluation criteria.
• Identify mistranslations, awkward phrasing, or cultural inaccuracies.

Skills

Proficiency in English

Proficiency in Chinese Simplified

Attention to detail

Understanding of linguistic nuances

Job description

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.

ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.

DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.

RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.

About the Role:

We are seeking bilingual language specialists to evaluate machine-translated song lyrics. The focus is on assessing the quality and accuracy of translations from English (US) to Chinese Simplified (China). This is a review-only role— no rewriting or editing is required. Your feedback will directly contribute to improving automated translation systems.

Key Responsibilities:

• Review and assess machine-translated lyrics for meaning, fluency, and naturalness.
• Provide quality ratings based on predefined evaluation criteria.
• Identify issues such as mistranslations, awkward phrasing, or cultural inaccuracies.
• Maintain consistent and objective judgment throughout the review process.

Project Details:

• Job Title: Lyric Translation Reviewer
• Pay Rate: Approximate hourly rate ~ $5/hour for Learning Explicitness and $5.5/hour for Translation Quality
• Location: Remote, China, US
• Schedule: Flexible; Average 4 hours per day
• Start Date: ASAP
• Employment Type: Freelance
• Project Duration: Ongoing

Note: Welo Data uses state-of-the-art fraud detection systems to ensure all freelancers engaged in the project do not misrepresent their identity, location, or financial details.

Required Qualifications:

• Native-level or near-native proficiency in both English (US) to Chinese Simplified (China)
• Strong understanding of linguistic nuances, idiomatic expressions, and cultural context in both languages.
• Ability to focus on detail and maintain concentration over large volumes of content.
• Previous experience in translation, localization, or linguistic quality evaluation is a plus but not required.
• [Nice to have] Familiarity with different music genres and lyrical styles.
• [Nice to have] Experience using online evaluation tools or platforms.

To Apply:

Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis.

We encourage applications from students and individuals looking to develop professional evaluation skills while maintaining a flexible schedule.