A $130,000/year remote AI job in the US. No relocation. No H1B wait. No US office politics.
In 2026, this is not a fantasy — it's a job listing. Several of them, actually.
US companies are hiring remote AI engineers globally at scale, and Indian professionals with the right GenAI stack are among the most competitive candidates in the market right now.
I researched 200+ active US job postings this week. Here are the 10 companies actively hiring remote AI engineers — with what they're looking for, what they pay, and exactly how to position yourself.
These roles were identified from LinkedIn, Wellfound, Himalayas, Remote.co, and direct company career pages in May 2026. Salary ranges are based on posted compensation bands and Levels.fyi data. All roles accept international remote candidates unless noted otherwise.
The 10 Companies Hiring Right Now
Hugging Face is the epicentre of open-source AI — and they hire globally with no geographic restrictions. Their ML Engineer roles focus on model training infrastructure, Transformers library contributions, and developer tooling. They value open-source contributions over pedigree. If you've fine-tuned and shared a model on the Hub or pushed a PR to a public ML repo, that's your entry point.
What they're really looking for: Deep Python, PyTorch proficiency, experience with transformer architectures, and the ability to communicate technical concepts clearly in writing. Remote-first companies value async communication skills as much as technical ones.
Weights & Biases builds the leading MLOps and experiment tracking platform used by teams at OpenAI, Toyota, and Samsung. Their Solutions Engineer role sits at the intersection of AI engineering and customer-facing technical work. Perfect fit if you've worked with MLOps tooling in a corporate environment.
Why this is a great entry point: W&B actively recruits from Asia and the solutions engineering role requires exactly what Indian enterprise IT professionals have — the ability to understand a client's technical problem and solve it in their environment.
The team behind LangChain and LangSmith hires engineers who don't just use the framework — they understand its internals. These roles focus on developer experience improvements, documentation, and integrations. If you've built production RAG or agent systems with LangChain, you are the exact profile they want.
The competitive edge for Indian engineers: LangChain has historically valued practitioners over researchers. If you've shipped a LangGraph agentic pipeline into a corporate environment, that experience is more valuable to them than a research degree.
Cohere builds enterprise AI with Command and Embed models. Their Applied AI Engineer roles work directly with Fortune 500 clients to deploy production RAG and search systems. If you've built enterprise RAG pipelines, this role maps almost perfectly to your experience.
Cohere's edge for Indian candidates: Their interview process focuses heavily on practical system design — not algorithmic puzzles. Enterprise AI experience from Indian IT consulting is genuinely valued here.
Databricks is aggressively expanding their AI/ML Solutions Architect team globally. These customer-facing technical roles help enterprise clients build on Databricks with MLflow, Delta Lake, and their GenAI tooling. Databricks certification is a significant differentiator.
Why this is the strongest option for experienced Indian professionals: Databricks values enterprise IT experience, their clients are the same Fortune 500 companies Indian consultants work with, and their remote roles often come with US compensation bands. If you hold a Databricks certification, apply immediately.
Pinecone is the leading managed vector database. Their AI engineer and developer advocate roles involve building example applications, technical content, and helping developers implement production-grade vector search. If you've used Pinecone or ChromaDB in a real project, your application has immediate credibility.
Hidden opportunity: Pinecone's developer advocate roles are frequently overlooked by engineering candidates — but they pay engineering salaries and are fully remote. For Indian professionals who are good communicators and have built real RAG systems, this is one of the most accessible US-compensated roles right now.
Scale AI builds the data infrastructure behind frontier AI models — model evaluation, RLHF data collection, and AI quality assurance. Their remote contractor roles are the fastest entry point to US AI work without any visa or sponsorship requirement. Payments are international-friendly (Stripe, Wise, PayPal).
Why this matters strategically: Scale AI on your resume signals to every US AI company that you've worked directly in the model training pipeline. Many Indian engineers use Scale AI as their first US AI client while pursuing full-time remote roles in parallel.
Cognition AI — the team behind Devin, the AI software engineer — is one of the hottest AI startups of 2025–2026. Their agentic systems engineering roles focus on building autonomous AI agents that can plan, execute, and debug complex software tasks. Compensation reflects the premium nature of the role.
Who can realistically apply: This requires genuine depth in multi-agent architecture, LangGraph or equivalent orchestration, and experience with tool-using agents in production. If you've built a real agentic system — not just followed a tutorial — your profile is competitive.
Labelbox builds AI training data infrastructure — annotation platforms, model evaluation pipelines, and active learning systems. Their Senior AI Engineer roles sit at the boundary of data engineering and AI, making them an ideal fit for Indian professionals transitioning from data engineering.
The data engineer advantage: If you come from ETL, data pipelines, or Databricks, your skill set maps directly to what Labelbox needs. They're one of the few US AI companies where data engineering experience is the primary qualification, not a weakness.
Glean is building the AI-powered enterprise search and knowledge layer — think RAG at enterprise scale, connected to Slack, Google Drive, Salesforce, and every internal tool a large company uses. Their AI engineering roles focus on retrieval optimization, embedding pipelines, and LLM-powered answer generation at scale.
Why this is the fastest growing opportunity in 2026: Enterprise AI search is the single largest GenAI deployment pattern in Fortune 500 companies right now. Engineers who understand this architecture are in extraordinary demand, and Glean is hiring aggressively at remote-global level.
How to Apply for US Remote AI Jobs from India — The Right Way
The application strategy matters as much as the resume. Here's the framework that works:
| Step | Action | Why It Matters |
|---|---|---|
| 1. LinkedIn First | Set location to "Remote" and open to remote US roles. Follow the company pages above. | US recruiters filter by "open to remote" before looking at profiles |
| 2. GitHub Portfolio | Push 2–3 real projects: a RAG system, a LangGraph agent, a fine-tuning experiment | Most US AI companies look at GitHub before scheduling interviews |
| 3. Cold Email Hiring Managers | Find the engineering manager on LinkedIn. Send a 3-line email with your most relevant project | 60% of US AI hires come through direct outreach, not job boards |
| 4. Wellfound & Himalayas | Both platforms explicitly flag "Remote — Global" roles and are used heavily by US startups | Better signal-to-noise ratio than LinkedIn for remote roles |
| 5. Start with Scale AI | Apply as a contractor while pursuing full-time roles in parallel | US AI work experience accelerates every other application |
Applying to 100 roles on Naukri or LinkedIn India with the same resume. US remote AI companies don't post on Indian job boards. You must go to their career pages directly, use Wellfound/Himalayas, or reach out on LinkedIn. The application channel matters as much as the application itself.
Add to your LinkedIn headline: "Open to Remote US Opportunities" and list your timezone as "IST / Flexible for US hours." American hiring managers think in time zones. Showing you've already thought about the overlap removes their biggest hesitation about hiring internationally.
🌍 Remote US AI Jobs in May 2026 — Key Takeaways
- ✦ Hugging Face, Cohere, Databricks, and Pinecone are the most accessible for Indian engineers with enterprise AI experience
- ✦ Scale AI is the fastest entry point — start as a contractor while pursuing full-time roles
- ✦ LangGraph, RAG, and agentic AI skills are the common thread across all 10 companies
- ✦ Databricks certification gives a measurable advantage for roles #5 and #9 on this list
- ✦ Apply through Wellfound, Himalayas, and direct company pages — not Indian job boards
- ✦ Cold email outreach to hiring managers beats job board applications by a wide margin
- ✦ Add "Open to Remote US Opportunities" + IST timezone flexibility to your LinkedIn today
Build the Profile That Gets You These Jobs
The skills and positioning behind landing a remote US AI role.