We are hiring math experts. This assessment is the first step to potentially qualify you for a range of paid opportunities at AfterQuery, from ongoing project work to specialized math roles.
Remote Jobs in Hong Kong 2026
1920 remote jobs open to candidates in Hong Kong. Updated daily.
We're assembling a group of senior software and ML engineers to work on one of the hardest open problems in AI today: how well can frontier models reason about LLM inference systems, GPU-level performance optimization, and model-serving architecture?
Kaya 是 Chemin Sdn Bhd 旗下的 AI 數據標註社群,致力招募優秀人才參與人工智能(AI)項目,並提供長期合作機會。 如果你熟悉香港廣東話、對醫療術語有一定認識,並希望參與真實醫療 AI 項目,我們歡迎你加入! 工作簡介 我們現正招募具醫療背景或熟悉醫療術語的人士,參與香港醫療語音轉錄項目。 工作主要為聆聽香港醫療場景的廣東話及英文對話,並準確轉錄錄音內容。錄音會自然夾雜廣東話及英文,而英文部分大多為醫療術語,因此具備相關知識將有助於更準確完成工作。…
Kaya by Chemin Sdn Bhd is a community of high-performing data annotators helping build the next generation of AI. Join us to work on impactful AI projects, develop your skills, and become part of a growing global community.
The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name. Started in 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region.
Kaya by Chemin Sdn Bhd is a community of high-performing data annotators helping build the next generation of AI. Join us to work on impactful AI projects, develop your skills, and become part of a growing global community.
Apply QA and test automation expertise to AI datasets — validate testing content, annotate automation workflows, and improve software-quality AI models.
Bring prompt engineering expertise to AI training — design and evaluate prompts, validate model outputs, and improve LLM performance across tasks.
Apply database and SQL expertise to AI training — validate query and schema content, annotate data-engineering examples, and improve technical AI models.
Apply geology and earth science expertise to AI datasets — validate geoscience content, annotate research data, and improve earth-science AI models.
Bring statistical and biostatistical expertise to AI training — validate quantitative content, annotate study designs, and improve analytics-focused AI models.
Apply investment banking expertise to AI training — validate financial-modeling content, annotate deal analysis, and improve finance AI models.
Bring auditing and forensic accounting expertise to AI datasets — validate financial-controls content, annotate investigations, and improve accounting AI models.
Apply aircraft maintenance expertise to AI training — validate airframe and powerplant content, annotate technical procedures, and improve aviation AI models.
Bring carpentry and cabinetmaking expertise to AI datasets — validate construction and woodworking content, annotate techniques, and improve trades AI models.
Provide family law expertise for AI training — validate legal content on domestic matters, annotate case analysis, and improve legal AI models.
Apply tax and corporate law expertise to AI datasets — validate complex legal content, annotate statutory analysis, and improve legal AI models.
Apply insurance underwriting expertise to AI datasets — validate risk-assessment content, annotate policy data, and improve insurance AI models.
Contribute mobile development expertise to AI datasets — validate code and architecture content, annotate technical examples, and improve coding AI models.
Provide real estate appraisal expertise for AI training — validate valuation methods, annotate property data, and improve real-estate AI models.
Apply open-source analysis expertise to AI training — validate geopolitical and security content, annotate analytical reporting, and improve intelligence-focused AI models.
Bring emergency management expertise to AI training — validate response protocols, annotate crisis scenarios, and improve public-safety AI models.
Contribute urban planning expertise to AI datasets — validate zoning and land-use content, annotate planning data, and improve civic-planning AI models.
Apply public policy expertise to AI training — annotate policy documents, validate AI-generated analysis, and improve models covering government and civic content.