Chinese (Simplified)–English Localization Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect language professionals with meaningful, remote projects that shape how modern AI understands and generates language.

Working with OpenTrain means joining a fast-growing industry where contributors directly influence model quality and behavior while enjoying flexible, remote contractor workflows.

About AI training and localization work

AI training (data labeling, annotation, and human evaluation) is the human side of building intelligent systems. For localization specialists, this work means evaluating and improving AI-generated translations, ensuring cultural nuance, accuracy, and usability.

Projects typically involve reviewing model outputs, applying Linguistic Quality Assurance (LQA) and MQM error typologies, editing or rewriting text, and producing clear explanations and model answers to guide future model behavior.

The role

We’re hiring a Chinese (Simplified)–English Localization & Translation Expert to review and improve AI-generated outputs. This is a remote, part-time contractor role (less than 20 hours/week) paid at $24/hour.

You will make defensible, consistent quality decisions using style guides, terminologies, and CAT tools, and you will document rationale and corrections for training reuse.

What you'll do

Evaluate AI-generated Chinese (Simplified) and English content for correctness, clarity, reasoning quality, and adherence to prompts and guidelines.

Produce high-quality corrected outputs, model answers, and concise explanations that justify edits and error classifications.

• Identify translation/localization issues, reasoning/methodology errors, and factual inconsistencies.
• Apply LQA/MQM severity and category decisions consistently; provide root-cause analysis when applicable.
• Use CAT tools, translation memories, and termbases to maintain consistency and record decisions.
• Rate and rank multiple AI responses using structured evaluation criteria and provide clear rationale.

Requirements

This role requires demonstrated professional expertise in localization and linguistic quality assurance.

All requirements below are mandatory unless noted as preferred.

• Native or near-native Chinese (Simplified) proficiency with strong professional writing and editing skills.
• English proficiency at C1+ (reading and writing) to interpret prompts, sources, and guidelines.
• 5+ years 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 frameworks: consistent error classification and severity decisions.
• Proficiency with CAT tools and QA workflows (TM/termbases, automated checks, structured guidelines).
• Strong terminology management, copyediting skills, and sensitivity to tone, register, inclusivity, and cultural nuance.
• Proven ability to fact-check localized content (units, names, references, dates) using reliable sources and sound reasoning.
• Comfort 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 required.

Who should apply

Experienced localization professionals who enjoy careful linguistic analysis, defendable quality decisions, and working directly with model outputs.

Candidates who are comfortable in CAT-tool-driven workflows and who can produce polished corrected text plus short, persuasive explanations for their edits.

Logistics — schedule, pay, and tools

Employment type: Contractor, part-time (under 20 hours/week). This role is remote and open worldwide.

Pay: $24 USD per hour, paid on an hourly contractor basis.

Data and tasks: Text-based evaluation, correction, rating, and RLHF-style response ranking.(project-specific platforms and CAT integrations).

How to apply

Create an OpenTrain account and submit your profile highlighting relevant localization experience, CAT tools used, and examples of LQA/MQM work.

Include brief notes on your availability, timezone, and any prior AI annotation or evaluation projects. Successful applicants will be asked to complete a short qualification task.