Chinese (Simplified)–English Localization & LQA Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Creating an OpenTrain account is free, and we hire contributors directly as contractors to do the human work that makes modern AI safe, reliable, and useful.

For this project, OpenTrain AI is the hiring and contracting organization — you will work with us as a paid contributor on localization and language-evaluation tasks that shape how multilingual AI systems behave.

About AI training and localization work

AI training (also called data labeling or human feedback work) is the human side of building artificial intelligence. Localization and translation evaluation are core parts of that work: people judge accuracy, tone, cultural appropriateness, and clarity of machine-generated text so models learn correct multilingual behavior.

This role sits at the intersection of professional localization and AI evaluation: your linguistic expertise will be used to identify errors, produce corrected outputs, and explain decisions so models and training teams can improve.

The role

You will review and improve AI-generated Chinese (Simplified) and English content, applying professional localization and LQA standards to make consistent, defensible quality decisions. Tasks combine translation/localization judgement, error classification, fact-checking, and creation of corrected model answers and rationales.

What you'll do

• Evaluate AI outputs for correctness, clarity, cultural appropriateness, and adherence to prompts and style guides.
• Apply LQA/MQM error typologies to classify and severity-rank issues with consistent root-cause reasoning.
• Identify translation/localization problems, terminology issues, register or tone mismatches, and reasoning or methodology errors.
• Fact-check localized content (units, names, references, dates) using reliable sources when needed.
• Write high-quality corrected outputs, model answers, and short explanations that justify corrections.
• Rate and rank multiple AI responses using structured criteria and provide clear, reproducible feedback.
• Work with CAT tool artifacts (TM/termbases) and follow QA workflows to keep decisions consistent and traceable.

Requirements

• Native or near-native Chinese (Simplified) fluency with professional writing and editing ability.
• Strong English reading/writing at C1+ to interpret prompts, sources, and evaluation guidelines.
• 5+ years of professional localization/translation experience; multilingual localization experience preferred.
• Bachelor’s degree or higher in Translation, Linguistics, Localization, Communications, or related field.
• Demonstrated experience applying LQA/MQM: consistent error classification, severity decisions, and root-cause thinking.
• Proficiency with CAT tools and QA workflows, including TM/termbases and automated checks.
• Strong terminology management and copyediting skills, with attention to tone, register, inclusivity, and cultural nuance.
• Proven ability to fact-check localized content using reliable sources and sound reasoning.
• Comfortable with hourly contractor workflows: dependable throughput, clear documentation, and responsiveness across time zones.
• Prior experience with AI data training, annotation, or evaluation is preferred (but not mandatory).

Who should apply

Experienced localization professionals who want flexible, part-time remote work and enjoy close, evidence-based linguistic review. Ideal applicants are detail-oriented, able to explain decisions clearly, and comfortable working in structured QA frameworks.

• You prefer working in hourly contractor setups and can maintain steady throughput under documented guidelines.
• You enjoy combining translation craft with evaluative thinking and producing defensible model answers.
• You can work independently and respond to feedback from project leads in a timely way.

Compensation, hours, and logistics

This is a part-time contractor role (OpenTrain AI hires directly) offering $24 USD per hour. Expected commitment is less than 20 hours per week and contributors may be located worldwide.

Work is remote and asynchronous; you will receive task instructions, style guides, and LQA/ MQM frameworks. You should be comfortable documenting decisions and working with CAT tool exports, TMs, and termbases.

How to apply

Create a free OpenTrain account, complete your profile, and apply to this listing. Be prepared to confirm language proficiency and share a brief CV or portfolio showing relevant localization/LQA work.

Selected applicants may receive a qualification task or sample evaluation to verify fit and consistency with the project's LQA standards. Once onboarded you will receive task batches, guidelines, and QA feedback.