Jobs in Richmond, Kanada

Scholars Location : Remote Duration : Project-based, part-time or full-time hours available 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. 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. Data creation (core) – authoring and solving domain‑specific problems. 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 : Applied & Professional Fields : 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 . Comfortable working independently and meeting deadlines in a remote environment. Graduate-level understanding of academic writing and discourse. 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 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. 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) Ability to follow technical guidelines using our annotation tools