Job Description

Program: Scholars

Location: Remote

Duration: Project-based, part-time or full-time hours available

About the Role

We are seeking experienced and detail-oriented Academic Content Annotators with academic proficiency in Simplified Chinese to support a high-impact AI training project. This role is ideal for individuals with strong academic backgrounds and an eye for quality educational materials.

As part of the Scholars program, you will work with a global team of subject matter experts to evaluate and refine educational question-and-answer (Q&A) data. Your work will involve assessing the quality and clarity of academic documents and improving the structure and completeness of related Q&A content.

Key Responsibilities

You will contribute to two interrelated workflows focused on academic materials:

• Reviewing academic documents to assess quality, category, and difficulty level.
• Identifying and improving Q&A content , including correcting, tagging, or refining machine-generated questions and answers.

These tasks require strong academic judgment, attention to detail, and the ability to work across multiple disciplines.

A Typical Day

• Data creation (core) – authoring and solving domain‑specific problems.
• Model assessment – scoring answers and refining evaluation criteria.
• Instruction refinement – rewriting prompts so the next trainer can work even faster.
• Quality & ethics reviews – flagging bias, inaccuracies, or unsafe content.
• Info syncs – short stand‑ups or workshops on new project approaches.

Academic Background

We are looking for individuals with Masters (MA, MSc or similar) or PhD experience in one or more of the following areas:

STEM: Biology, Chemistry, Computer Science, Engineering, Math, Physics

Social Sciences & Humanities: Economics, History, Law, Philosophy, Psychology

Applied & Professional Fields: Business, Finance, Health

Other Related Disciplines

Required Skills & Qualifications

• Graduate academic background (MA, PhD, or equivalent professional or academic degree).
• Fluency in Mandarin Chinese, with excellent reading comprehension, including academic texts containing complex vocabulary, technical jargon, and specialized terminology .
• Self-directed learning capabilities and the ability to follow complex instructions.
• High attention to detail and consistency in annotation work.
• Patience with ambiguity and a gracious approach to accepting feedback.
• Clear and respectful communication skills in written environments.
• Comfortable working independently and meeting deadlines in a remote environment.
• Graduate-level understanding of academic writing and discourse.

Preferred Qualifications

• University-level coursework at a Chinese-language institution.
• Prior experience with annotation, quality review, or AI training projects.
• Post-graduate teaching experience, e.g., TA, graduate teaching assistant, adjunct, lecturer, professor

What You'll Gain

• A flexible, remote opportunity to contribute to the development of advanced AI systems.
• The chance to work on cutting-edge projects in Generative AI.
• Membership in our Scholars community of global experts.

Application Process

To apply, please submit your resume and briefly describe your academic background, fluency in Mandarin Chinese, and any experience with educational content or annotation work.

As part of the selection process, candidates will be asked to complete a brief online assessment to evaluate their:

• Language proficiency (in Mandarin Chinese)
• Attention to detail
• Reading comprehension
• Ability to follow technical guidelines using our annotation tools

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