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Bilingual Audio Contributor and Expert Reviewer; Mandarin

Remote / Online - Candidates ideally in
Chicago, Cook County, Illinois, 60601, USA
Listing for: OpenTrain AI, Inc.
Part Time, Remote/Work from Home position Listed on 2026-11-09
Job specializations:
  • Language/Bilingual
    AI Evaluation, Data Annotation/ AI Labeling
  • Research/Development
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 62.5 USD Hourly USD 62.50 HOUR

Job Description & How to Apply Below

Bilingual Audio Contributor and Expert Reviewer (Mandarin)

Review AI-generated research tables, verify linked sources, and find missing entries in a remote, self-paced project requiring 20+ hours weekly. Fluency in Mandarin Chinese and English is required.

You will review research tables created by an AI tool in response to complex questions. The listed duties focus on research-table review rather than audio contribution, so review the duties and qualifications before applying.

  • Check each table entry for accuracy, relevance, and completeness.
  • Open and verify the primary sources linked in each entry.
  • Research the topic independently to find entries the AI may have missed.
  • Correct and improve the AI's output.
Time and requirements

This is a remote, project-based contract role. The work is asynchronous and self-paced, with projects expected to continue for the next several weeks.

  • Commitment: 20+ hours per week.
  • Each review task takes about 1.5 to 2 hours.
  • Open to candidates in the countries listed for this role.
  • Fluency in Mandarin Chinese and English;
    Mandarin may be Simplified or Traditional.
  • Strong attention to detail and the ability to work independently.
  • Comfort with independent web research and evaluating online sources.
  • No specialized degree is required.
  • Familiarity with AI tools such as ChatGPT, Claude, or Gemini is helpful.
  • Experience in data annotation, content review, or quality assurance is helpful.
About AI training work

AI training work is the human review and preparation of examples that help AI systems learn, including checking model-generated answers and research. Careful review helps improve the accuracy and usefulness of those systems.

Requirements
  • Languages:

    Chinese

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