About AI LLM Jobs
AI LLM Jobs holds a 4.0/5 editor rating, starts at Free.
AI LLM Jobs (aillmjobs.com) is a free, curated ai job board built entirely around artificial intelligence and large language model careers. It aggregates roughly 4,300 live openings from 251 companies including OpenAI, Anthropic, Anduril, Databricks, xAI and Scale AI, split across AI software engineering, research, computer vision, forward deployed engineering, LLM ops and AI GTM. Around 1,100 of those are remote ai jobs. Alongside the listings it ships a genuinely useful free layer: 2026 salary benchmarks for 18 roles across 9 cities, a 66-lesson AI interview guide, an ATS resume checker that runs in your browser, and a salary calculator. Listings are aggregated from company career pages rather than sold to employers, so the board is free for job seekers and the employer side is still unfinished.
Best for: AI and ML engineers, researchers, and AI product and GTM people who want a focused ai job board instead of filtering machine learning jobs out of a general feed, plus anyone who wants free 2026 AI salary benchmarks, an AI interview curriculum, or a private ATS resume check.
“A well built vertical ai job board with an unusually good free layer: 2026 salary benchmarks for 18 roles, a 66-lesson AI interview guide and a private in-browser ATS checker sit alongside roughly 4,300 aggregated listings from OpenAI, Anthropic, Anduril and Databricks. Excellent for candidates at zero cost. Not yet usable for employers, since the post-a-job flow and pricing are unpublished.”
What is AI LLM Jobs?
Overview
AI LLM Jobs is a niche ai job board that does one thing: index roles at companies building artificial intelligence, and make them searchable by the dimensions AI candidates actually care about. Where a general board buries machine learning jobs under thousands of unrelated software postings, aillmjobs.com starts from a taxonomy of AI work: AI Software Engineering, AI Research, Computer Vision, Forward Deployed Engineering, LLM Ops and Infrastructure, AI Product Management, AI Sales and GTM, Data Science, AI Security and AI Design.
At the time of review the board carried about 4,355 live listings drawn from 251 companies. The concentration tells you what kind of board this is: Anduril at 836 roles, Databricks at 622, OpenAI at 541, Anthropic at 402, Scale AI at 154, xAI at 103, Cohere at 93, Harvey at 84, LangChain at 75. Roughly 1,117 of the total are tagged remote. This is a frontier-lab and AI-infrastructure board first, and a general tech board a distant second.
Key Capabilities
Search and filtering is the core. You can slice by role category, by one of nine hub cities (San Francisco, New York, Seattle, London, India, Berlin, Toronto, Singapore, Paris), by work mode, by company, and unusually by benefit: there are dedicated landing pages for llm jobs offering stock options, unlimited PTO, health insurance, paid parental leave, flexible work, wellness programs, retirement plans and equipment budgets. That benefit axis is rare on job boards and is a real differentiator for candidates comparing offers rather than just hunting listings.
Individual job pages carry structured JobPosting markup, a salary band where the source published one, work mode, job type, posting date, a similar-roles module and a link through to the company profile. Applications redirect out to the employer's own careers page or ATS rather than being captured on the board, which keeps the flow honest but means aillmjobs.com is a discovery layer, not an application manager.
The free tools layer is where the site outperforms its category. The salaries section publishes 2026 US base pay for 18 AI and ML roles at junior, senior and staff levels, with a senior median of $217k across the set and roughly 15% year-over-year growth. AI Safety Researcher tops it at a $295k senior median and $420k at staff, followed by AI Research Scientist at $285k and Reinforcement Learning Engineer at $268k; Machine Learning Engineer sits at $230k, LLM Engineer at $220k, and Prompt Engineer at $168k. The AI Interview Guide is 8 modules and 66 lessons covering LLM foundations, prompt engineering, retrieval and RAG, agents and orchestration, evaluation, production ops and system design, at roughly 11 hours of reading, free and with no sign-up. An ATS resume checker scores your resume against a pasted job description entirely client-side, so nothing is uploaded. There is also an interview question bank of 100+ items and a live job market trends dashboard.
Pricing Analysis
For candidates the entire site is free with no account required: browsing, filtering, saved jobs, the salary data, the interview guide, the ATS checker and the RSS feed at /feed.xml all work without signing up. The only opt-in is a weekly newsletter. Monetisation currently runs through display advertising and sponsored placement rather than a paywall.
The employer side is the unfinished half. "Post a Job" appears in the navigation and in an in-feed promo, but at review time it did not resolve to a working submission flow or a pricing page, and no rate card is published anywhere on the site. If you are hiring, you will need to contact the operator directly rather than self-serve. Treat employer pricing as unpublished, not as free.
Who Should Use This
This is a strong fit for engineers, researchers and AI product people who already know they want to work at an AI company and want to stop filtering noise out of a general board. The benefit and location landing pages make it particularly good for people optimising a search around remote work, equity or a specific city. It is also worth bookmarking purely for the free layer: the salary benchmarks and the 66-lesson interview guide stand on their own even if you are not actively looking, and the ATS checker is a fast sanity pass before an application.
It is a weaker fit if you want a full application manager, a recruiter marketplace or a place to post a role today. And because listings are aggregated rather than sold, the board carries whatever the sources publish, which means quality is inherited rather than curated at the individual-listing level.
The Bottom Line
AI LLM Jobs is one of the better executed vertical ai job boards, and the free career tooling around it is more substantial than most paid products in the space. The honest caveats are that it is an aggregator rather than a direct employer channel (its own footer states it is not affiliated with the hiring companies), that the feed occasionally carries plainly non-AI roles from European job feeds that dilute the AI/LLM promise, that job descriptions are summarised rather than reproduced in full so you always click through to the source, and that the employer-facing product is not finished. For a candidate, none of that costs anything. For a hiring team, it is not yet a self-serve option.
Pros
- Genuinely AI-native taxonomy: roles are filed under AI Research, Computer Vision, LLM Ops, Forward Deployed Engineering and AI GTM rather than buried in a general software feed
- Deep, free career tooling that most paid products do not match, including 2026 salary benchmarks for 18 roles across 9 cities and a 66-lesson AI interview guide
- ATS resume checker runs entirely in the browser, so your resume and the job description never leave your machine
- Filtering by benefit (stock options, unlimited PTO, parental leave, equipment budget) is rare on job boards and useful when comparing offers
- Free with no account required, plus an RSS feed at /feed.xml for anyone who wants to pipe listings into their own workflow
- Strong concentration of frontier-lab and AI-infrastructure employers: Anduril, Databricks, OpenAI, Anthropic, Scale AI, xAI, Cohere, Harvey and LangChain all list here
Cons
- Aggregated, not a direct employer channel. The site's own footer states jobs are sourced from career pages and aggregators and that it is not affiliated with the hiring companies, so listing accuracy and freshness are inherited from the source
- The feed carries plainly non-AI roles pulled from European job aggregators, which dilutes the AI and LLM promise on the latest-jobs view
- The employer side is unfinished: 'Post a Job' does not resolve to a working submission flow and no employer pricing is published anywhere on the site
- Job descriptions are summarised rather than reproduced in full, so you always have to click through to the source posting to read the real requirements
- Many listings carry no salary band, since the board can only show what the source published
- Display advertising appears in the job feed, which adds friction to an otherwise clean browsing experience
How to Use AI LLM Jobs
- 1Pick an AI Role Category
Open aillmjobs.com and choose a category such as AI Software Engineering (around 1,492 roles), AI Product Management (415), Computer Vision (307), Forward Deployed Engineering (272), AI Sales and GTM (265), AI Research (175) or LLM Ops and Infrastructure (139). Starting from the taxonomy removes far more noise than a keyword search.
- 2Add Location or Remote Filters
Switch to the Remote view for the roughly 1,117 remote ai jobs, or drill into one of the nine city hubs: San Francisco, New York, Seattle, London, India, Berlin, Toronto, Singapore or Paris.
- 3Filter by Benefits That Matter to You
Use the benefit landing pages to narrow to roles advertising stock options, unlimited PTO, health insurance, paid parental leave, flexible work, wellness programs, retirement plans or an equipment budget. This is a useful axis when you are weighing competing offers rather than just hunting listings.
- 4Benchmark the Salary
Check the Salaries section for 2026 US base pay across junior, senior and staff levels for 18 AI and ML roles, then use the AI Salary Calculator to adjust for your city and level before you negotiate.
- 5Check Your Resume Against the Job Description
Paste the job description and your resume into the ATS Resume Checker to get a match score and a list of missing keywords. The check runs entirely in your browser, so neither document is uploaded anywhere.
- 6Prepare With the AI Interview Guide
Work through the free 66-lesson guide across 8 modules: LLM foundations, prompt engineering, retrieval and RAG, agents and orchestration, evaluation, production and ops, system design, and interview strategy. Progress is tracked as you go and no sign-up is required.
- 7Apply at the Source and Subscribe
Apply buttons redirect to the employer's own careers page or ATS, so finish the application there. Subscribe to the weekly newsletter or add https://aillmjobs.com/feed.xml to your RSS reader so new AI and LLM roles reach you automatically.
Key Features of AI LLM Jobs
Core
6Listings filed under AI Software Engineering, AI Research, Computer Vision, Forward Deployed Engineering, LLM Ops and Infrastructure, AI Product Management, AI Sales and GTM, Data Science, AI Security and AI Design rather than a generic software category.
Roughly 4,355 live roles from 251 AI companies including Anduril, Databricks, OpenAI, Anthropic, Scale AI, xAI, Cohere, Harvey and LangChain, refreshed daily from career pages and aggregators.
A dedicated remote view covering around 1,117 remote AI and LLM positions, plus a remote-only toggle on the main search.
Browse roles by advertised benefit: stock options, unlimited PTO, health insurance, paid parental leave, flexible work, wellness programs, retirement plans and equipment budgets.
Per-company pages for 251 AI employers showing open role counts and every current listing, so you can track a specific lab or startup.
Save roles for later without an account, or subscribe to a curated weekly digest of top AI and LLM jobs.
Career Tools
6US base pay for 18 AI and ML roles at junior, senior and staff levels across 9 cities, updated June 2026, with a senior median of around $217k and roughly 15% year-over-year growth.
Compare 2026 base pay for 18 AI and ML roles across experience levels and 9 locations to benchmark an offer before negotiating.
Paste a job description and your resume to get a match score and the keywords you are missing. Runs entirely in the browser so neither document is uploaded.
A free 66-lesson, 8-module curriculum covering LLM foundations, prompt engineering, RAG, agents and orchestration, evaluation, production ops and AI system design, at roughly 11 hours of reading with progress tracking and no sign-up.
Over 100 curated ML, LLM and AI interview questions organised by role, with notes on what interviewers are looking for in each answer.
A live dashboard of AI hiring statistics covering remote share, top roles, top companies and the locations hiring most actively.
SEO
1Individual job pages emit JobPosting schema with salary band, work mode, job type and posting date, so listings surface correctly in Google Jobs and other structured search results.
Integration
1A public feed at /feed.xml for piping new AI and LLM listings into an RSS reader or a custom workflow.
Key Specifications
| Attribute | AI LLM Jobs |
|---|---|
| Free Tier | |
| API Access | |
| Platform Support | Web |
| AI Powered | |
| Has Free Trial | |
| Requires Account | |
| Minimum Contract Length | None |
| Team Collaboration | |
| Avg Setup Time | Under 5 minutes |
Use Cases
- Finding AI and LLM engineering roles at frontier labs and AI startups
- Searching remote AI jobs by role, city and advertised benefits
- Benchmarking 2026 AI and ML salaries before negotiating an offer
- Preparing for AI engineering and LLM system design interviews
- Checking a resume against a job description for ATS keyword coverage
- Tracking which AI companies are actively hiring and at what volume
Integrations
- Productivity
- RSS
- Job Sources
- Y Combinator Work at a Startup
- Communication
- Email Newsletter
Limitations
It is a discovery layer, not an application tracker: every apply click redirects to the employer's own careers page or ATS. Listings are aggregated from third-party sources rather than sold to employers, so accuracy and freshness depend on those sources and the site explicitly disclaims affiliation with the hiring companies. Descriptions are summarised, not full. Salary data is US base pay only, covering 9 cities. There is no working self-serve employer posting flow and no published employer pricing at time of review.