Potential candidates will need to pass a translation test. Successful candidates will be invited to a virtual interview with one of the client's Marketing Managers in the target market. The expected workload will average 5-10 hours per month.
Remote Jobs in Singapore 2026
2456 remote jobs open to candidates in Singapore. Updated daily.
The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution.
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale.
Potential candidates will need to pass a test. Successful candidates will be invited to a virtual interview with one of the client's Marketing Managers in the target market. The expected workload will average 5-10 hours per month.
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting.
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.
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.
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?
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.
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.