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1,346
Open Roles
$130K–$210K
Median Salary
$251K+
Top 10% Pay
100%
Remote-Friendly

About Remote Data & ML Jobs roles

The landscape for remote Data & Machine Learning professionals has transformed into a globally competitive ecosystem, allowing top-tier talent to collaborate with leading AI startups and tech giants without geographic constraints. Working remotely in Data & ML offers unparalleled flexibility and the opportunity to engage in cutting-edge model training, data engineering, and AI research from anywhere in the world, often with compensation packages that rival major tech hubs like San Francisco or New York. Prominent remote-first and highly distributed companies such as Hugging Face, Anthropic, and Scale AI are actively recruiting global talent, fostering a strong culture of asynchronous communication and robust digital collaboration. This shift not only bypasses complex visa requirements but also democratizes access to elite projects, empowering data scientists and ML engineers to build the future of artificial intelligence on their own terms.

Hiring demand for remote Data & ML roles is experiencing explosive growth, significantly outpacing previous years as companies across all stages prioritize artificial intelligence and advanced analytics capabilities. Early-stage AI startups and mid-sized tech firms are driving the majority of these openings, aggressively sourcing global talent to accelerate model development while optimizing operational costs.

Remote Data & ML Jobs salary overview

The median salary range across these 1,346 positions is $130K–$210K. Top earners make $251K+.

Latest openings

Architecture & Data Lead
Red Cell Partners · Remote (US)
$175K–$225K
Data Analyst, Clinical Data Effectiveness
Clover Health Investments · Remote (US)
$77K–$100K
Principal AI Data Scientist
Anaplan · Remote (US)
Principal Data Scientist - AI
Anaplan · Remote (US)
Senior AI Engineer
Anaplan · Remote (US)
Analytics Engineer
Reddit · Remote (US)
$164K–$229K
Senior Staff Data Scientist - Consumer Relevance
Reddit · Remote - Ontario, Canada
Senior Analytics Engineer
Reddit · Remote (US)
$190K–$267K
$147K–$176K
Senior Machine Learning Engineer, Sentry Tower
Anduril Industries · Irvine, California, United States
$220K–$330K
$200K–$357K
$200K–$357K
$157K–$203K
$178K–$319K
Staff Data Engineer, Ads
Discord · Remote (U.S.)
$248K–$279K
Junior Business Intelligence Analyst
Transfr · United States
$65K–$75K
Lead - POC Data Science
Sardine Ai · United States
$200K–$240K
Data Scientist - Production Engineering
Cordial Experience · Remote (US)
$140K–$175K
Lead Data Analyst
Hire Hangar · South Africa - Cape Town
Data Analyst
Hire Hangar · South Africa - Cape Town
IT Business & Data Analyst
Pax Labs · San Francisco, CA
$95K–$125K
AI Engineer
Hire Hangar · Bogotá, Colombia
Senior Research Scientist, Evidence Synthesis
Precision Medicine Group · Remote (US)
Senior Data Engineer
Capital Rx · Remote
$140K–$160K
Data Engineer II
Capital Rx · Remote
$120K–$140K
Technical Business Analyst - ServiceNow
Lightfeather Io · United States
ServiceNow Business Analyst
Lightfeather Io · United States
View all 1,346 roles →

Frequently asked questions

How do remote Data & ML salaries compare to roles based in major tech hubs?
Remote Data & ML compensation has become highly competitive, with many remote-first startups offering tier-one salaries that match or closely trail San Francisco and New York benchmarks, often adjusted slightly based on the employee's cost of living or local tax regulations.
Which types of companies are hiring the most for remote Data & ML positions?
Early-to-mid stage AI startups and specialized tech firms are leading the remote hiring surge, heavily recruiting machine learning engineers, data scientists, and AI researchers to build scalable infrastructure and train foundational models without geographic limitations.
Are there specific time zone requirements for remote Data & ML jobs?
While many remote-first companies champion asynchronous work, some roles may require significant overlap with core team hours—typically US time zones like PST or EST—to facilitate real-time collaboration on complex algorithmic problem-solving and rapid model deployment.

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