Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like ‘Alice’ herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies.
Remote Jobs in Laos 2026
1902 remote jobs open to candidates in Laos. Updated daily.
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users.
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users.
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies.
We're building a research cohort of senior domain experts across seven specialist tracks — software/systems engineering, formal methods and computational science, ML inference and GPU kernels, enterprise operations, security, hardware design, and creative technology — to help…
Akuity was founded by the co-creators of Argo, Hong Wang, Jesse Suen, and Alexander Matyushentsev. The three were founding engineers at Applatix, which launched the Argo project in 2017.
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies.
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.
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.
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?
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.