5,421 active roles, straight from company career pages.
The modern data and AI team doesn't sit in one office. It spans time zones, works asynchronously on pipelines and models, and relies on tools that travel as well as the people do. On JobFerret, we've indexed 5,421 active remote data and AI roles where 100% are remote-first, letting you find positions built for distributed collaboration from day one.
Remote data work demands a different tooling philosophy. Your orchestration, versioning, and monitoring stack needs to work across continents without constant synchronous handoffs. The teams hiring for these roles understand that constraint. They've built their data infrastructure around async-friendly workflows, containerized pipelines, and cloud-native architectures that don't care where you log in from. Whether you're building data platforms, training models, engineering features, or managing data quality, the best remote data roles cluster around companies that have already solved the timezone problem.
Our data shows where that clustering happens. bjakcareer leads with 1,212 open positions, followed by toloka-annotators (231), agency (200), futuresight (130), openai (59), and gramian (55). These aren't one-off remote listings; they're organizations with mature remote-first data operations. Among roles with a stated location, Remote appears in 258 listings, World Wide - Remote in 193, United States in 128, United Kingdom in 85, and Singapore in 76. The majority of postings don't specify a location at all (767), which often signals true location independence.
What makes remote data different from remote software engineering? The data itself doesn't move. Your pipelines run in shared infrastructure. Your datasets live in cloud storage. Your notebooks and models are version-controlled and reproducible. That means remote data teams can collaborate deeply without needing to be in the same room or even awake at the same time. A well-designed data stack is inherently async-friendly: you commit your code, trigger a job, and your teammates review the results hours later. That's the environment these 5,421 roles operate in.
Browse our full inventory of remote data and AI positions. Filter by company, seniority, tech stack, or role type. Each listing includes the details you need to understand how the team works, what tools they use, and what kind of async collaboration they expect.
Data engineers, ML engineers, analytics engineers, data scientists, machine learning operations, data platform engineers, and related roles where remote work is the default.
Most don't. The whole point of remote-first data teams is async collaboration. That said, individual roles may have preferences or light overlap requirements. Check each listing for details.
Yes. Every role in this index is listed as remote. Some companies may have optional or occasional office access, but the position itself is remote-first.