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AI Language Expert - Chinese

Alignerr
Department:Design
Type:REMOTE
Region:Los Angeles, CA
Location:Los Angeles, CA
Experience:Entry level
Salary:$26,000 - $31,200
Skills:
CHINESE LANGUAGELANGUAGE TEACHINGLANGUAGE ASSESSMENTCEFR FRAMEWORKSLINGUISTIC ANALYSISAI LANGUAGE TOOLSEDUCATIONAL TECHNOLOGY
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Job Description

Posted on: March 8, 2026

About The Job Alignerr partners with leading AI labs to build expert-driven data pipelines that improve how models reason, learn, and communicate. We work with domain specialists around the world to evaluate and refine AI systems in areas where precision, pedagogy, and human judgment matter most. Position AI Language Expert — ChineseType: Hourly contractor Compensation: $25–$30/hour Location: Remote Duration Commitment: Minimum 15 hours/week Schedule: Fully asynchronous, work on your own time Start Date: Rolling — applications reviewed as projects launch Role Responsibilities

  • Evaluate AI-generated Chinese speech and text for linguistic accuracy, naturalness, and educational quality.
  • Assess learner speech and writing across proficiency levels from CEFR Pre-A1 through B2+.
  • Apply expert judgment to identify learner errors, unnatural phrasing, and pedagogical gaps.
  • Provide clear, structured feedback that improves AI tutoring and language-learning models.
  • Collaborate asynchronously with project leads and fellow language experts.
  • Contribute to raising the overall quality and reliability of AI language instruction.

QualificationsMust-Have

  • Native-level proficiency in Chinese.
  • Experience teaching Chinese or evaluating learner language.
  • Fluency in English (C1/C2).
  • Familiarity with learner speech patterns and CEFR frameworks.
  • Enrolled in or completed a Bachelor’s degree or higher.
  • Strong attention to detail and consistency in linguistic judgment.

Nice-to-Have

  • Experience with language assessment, curriculum design, or standardized testing.
  • Exposure to AI-powered language tools or educational technology.
  • Comfort working independently in structured, asynchronous workflows.
Originally posted on LinkedIn

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