Imagine landing a tech career without a daily commute — you’re not alone. In 2025, about 22% of the U.S. workforce (over 32 million people) worked at least part-time remotely, and flexible roles remain strong in 2026. For professionals seeking remote AI and ML roles in the USA, this trend creates exciting opportunities to work on cutting-edge AI and machine learning projects from anywhere. This guide will walk you through the top work-from-home roles, the companies hiring for them, the skills that matter most, and how to position yourself for roles that combine growth, impact, and flexibility.
Source: Index, as of July 30, 2026
Best Remote AI/ML Jobs in USA Today
AI remote jobs are no longer limited to niche teams. Today, many US companies offer work-from-home AI roles across industries, making it easier for professionals to find flexible opportunities that match their skills and long-term career goals.
The table below provides a clear view of the best work-from-home AI jobs in the US:
| Remote AI/ ML Role | Why It’s In Demand | Industries Hiring |
| AI Research Engineer | Develops and improves advanced models and algorithms. | AI startups, R&D labs, and big tech. |
| MLOps/ AI Ops Engineer | Ensures ML systems run smoothly in production environments. | Cloud services and enterprise tech. |
| Machine Learning Engineer | Builds and deploys scalable ML models for real-world products. | Tech, healthcare, SaaS, and eCommerce. |
| Data Scientist | Helps companies turn data into actionable business insights. | Finance, tech, and healthcare |
| AI/ ML Specialist (NLP, LLMs) | Powers chatbots, automation, and GenAI-driven products. | Media, fintech, and AI platforms. |
Also Read: The Future of AI and ML in the US: Career, Job Prospects, and Growth
Let us help you understand further about these work-from-home AI jobs:
1. AI Research Engineer
Machine learning engineers working remotely often handle models from testing to production. These machine learning remote jobs suit professionals who enjoy solving practical problems while collaborating with distributed product and engineering teams.
- Approx. Average Salary: USD 1,000,000 – 2,000,000
2. MLOps/ AI Ops Engineer
MLOps engineers keep AI systems stable, secure, and scalable. Many remote AI roles in this area focus on automation, monitoring, and seamless collaboration across cloud-based environments.
- Approx. Average Salary: USD 800,000 – 2,000,000
3. Machine Learning Engineer
Machine learning engineers working remotely often handle models from testing to production. These machine learning remote jobs suit professionals who enjoy solving practical problems while collaborating with distributed product and engineering teams.
- Approx. Average Salary: USD 100,000 – 200,000
4. Data Scientist
Remote data scientists spend much of their time turning raw data into clear insights for decision-makers. These AI work-from-home jobs reward strong communication as much as analytical thinking.
- Approx. Average Annual Salary: USD 94,000 – 100,000
5. AI/ ML Specialist
AI and ML specialists often work in specialized areas such as NLP or generative AI. These AI remote jobs suit professionals who stay current with rapid tech changes and evolving business needs.
- Approx. Average Salary: USD 67,000 – 100,000
Essential Skills You Need to Get Remote AI/ML Jobs
Whether you’re aiming for full-time roles or exploring part-time machine learning remote jobs, employers in the US expect candidates to combine strong technical abilities with self-driven collaboration.
- Machine Learning in Practice: Being able to actually build, test, and tweak models matters far more than just knowing the theory.
- Programming & Data Handling: Comfort with Python and messy real-world datasets is a must.
- Cloud & Deployment Know-How: Understanding how to move models into production helps remote teams run smoothly.
- Communication Skills: Explaining what you did and why matters, especially across time zones.
- Self-Management: Remote employers look for people who can meet deadlines, document work, and stay accountable without constant supervision.
Where to Find Remote AI/ML Jobs in the USA
Finding remote AI/ML jobs in the USA is easier if you know where to look. From career platforms to companies that embrace remote work, there are plenty of opportunities to explore.
- Job Boards & Career Platforms: LinkedIn, Indeed, Glassdoor, and AngelList list full-time, hybrid, and remote AI/ML roles.
- Remote-First Companies: Organizations such as GitLab, Automattic, and Zapier hire globally and operate fully remotely.
- Hybrid-Friendly Employers: Big tech firms such as Amazon, Microsoft, and Google offer flexible remote or hybrid on-site options.
- Contract & Part-Time Work: Platforms like Toptal and Upwork connect freelancers with short-term or part-time AI/ML projects.
- Networking & Communities: AI/ML Slack groups, Discord servers, and forums can reveal hidden opportunities and referrals.
Also Read: Top AI Jobs in the US: Most Wanted Artificial Intelligence Roles with Salary Ranges & Career Paths
How to Prepare for Remote AI/ML Roles
If you want a remote AI/ML job, focus on showing what you can actually do and making it easy for employers to see your skills.
- Build Real Projects: Work on ML apps that solve real problems, not just tutorials.
- Share Your Code: Put your work on GitHub so others can see your process.
- Highlight Prompt Engineering: Include any work with LLMs or AI tools in your portfolio.
- Get Cloud Credentials: AWS, GCP, or Azure certs show you can deploy models remotely.
- Polish Your LinkedIn: Show projects, results, and skills, and connect with AI/ML communities.
Also Read: Free AI Certification Courses in the USA
Why Choose upGrad for AI/ML Career Growth in the USA
If you’re planning to build an AI or ML career in the USA, upGrad can be a practical starting point—especially if remote ML jobs are your goal. As an online learning platform, upGrad helps learners gain job-ready skills through structured programs, hands-on projects, and guidance from industry professionals. The flexible online format fits around work schedules, making it easier to upskill without career breaks. With a focus on real-world applications and evolving industry needs, upGrad supports learners seeking steady, long-term growth in AI and machine learning.
Explore these online AI/ ML courses through upGrad:
- Executive Post Graduate Program in Applied AI and Agentic AI from IIT Bangalore
- Master of Science in Machine Learning & AI from Liverpool John Moores University
- Executive Diploma in Machine Learning & AI from IIT Bangalore
🎓 Explore Our Top-Rated Courses in United States
Take the next step in your career with industry-relevant online courses designed for working professionals in the United States.
FAQS – Remote AI/ML Jobs in USA
Yes, and they’re no longer rare. Many US companies now treat remote AI and ML roles as standard, especially for product, analytics, and applied machine learning teams where daily office presence isn’t necessary.
Remote ML roles usually expect practical, usable skills, such as:
1. Python for real-world problems
2. Hands-on ML models
3. Comfort with cloud tools
4. Data handling
5. Clear written communication
Yes, beginners can secure remote AI/ML roles, but most start in junior roles, internships, or freelance projects. A strong portfolio and practical experience matter more than titles.
A mix of big tech and smaller firms hire remotely, including:
1. Google
2. Amazon
3. Microsoft
4. IBM
5. NVIDIA
Many startups also hire fully remote AI teams.
Yes, remote work is possible for research-heavy roles, especially with strong documentation and collaboration tools, though some teams still prefer occasional in-person meetings for deeper discussion.
