Best AI Job Boards and Career Sites in 2026

Last reviewed: 2026-05-13. Job-board availability, branding, role volume, and search filters change frequently, so verify each listing on the employer’s official career page before applying.

Start here

• For machine learning and AI engineering roles: start with ai-jobs.net, AIJobs.com, LinkedIn, and direct company career pages.
• For startup AI roles: use Wellfound and YC Work at a Startup.
• For remote AI roles: check Remote OK, We Work Remotely, FlexJobs, Remotive, and Arc.
• For frontier AI lab roles: go directly to company career pages such as OpenAI, Anthropic, Google DeepMind, NVIDIA, Microsoft, Meta, and Hugging Face.

How we chose these AI job boards

We prioritized AI relevance, listing quality, role coverage, remote/startup coverage, usefulness for different candidate types, and scam-risk reduction. We also favored platforms that help candidates verify employers, search by AI-specific keywords, or find roles that may not appear on a single general job board.

Finding an AI job in 2026 is both easier and harder than it used to be.

Easier, because almost every major company now has AI-related roles: machine learning engineers, AI product managers, data scientists, research engineers, AI safety specialists, prompt engineers, automation consultants, AI infrastructure engineers, and more.

Harder, because the best roles are spread across many places. Some show up on AI-only job boards. Some are posted only on company career pages. Startup roles may appear on founder-focused platforms. Remote roles may be buried inside general remote job boards. Freelance AI projects often live on marketplaces instead of traditional career sites.

This guide gives you a practical map of the best AI job boards and career sites to check in 2026, organized by use case.

What changed in AI hiring for 2026

AI job searching in 2026 is less about searching only for “AI engineer” and more about matching your skills to specific hiring categories. Strong searches now include terms like “LLM engineer,” “AI product manager,” “AI evaluation,” “AI red teaming,” “AI agents,” “MLOps,” “inference infrastructure,” “AI governance,” and “model risk.”

Remote AI jobs still exist, but many competitive roles — especially at frontier labs, AI infrastructure companies, and enterprise AI teams — are hybrid or location-specific. Use job boards for discovery, then confirm the opening on the company’s official careers page before applying.

Quick picks: best AI job boards by situation

If you only have a few minutes, start here:

• Best AI-only job boards: ai-jobs.net, AIJobs.com
• Best broad job boards for AI roles: LinkedIn, Indeed, Google job search results, ZipRecruiter
• Best for salary and company research: Glassdoor, Levels.fyi
• Best tech-focused job boards: Dice, Built In, Simplify.jobs, Levels.fyi Jobs
• Best startup AI jobs: Wellfound, YC Work at a Startup, Otta / Welcome to the Jungle
• Best remote AI jobs: Remote OK, We Work Remotely, FlexJobs, Remotive, Arc
• Best freelance AI projects: Upwork, Toptal, Turing
• Best AI safety and impact-focused jobs: 80,000 Hours, Effective Altruism communities, LessWrong community posts
• Best place for top lab roles: Direct company career pages like OpenAI, Anthropic, Google DeepMind, NVIDIA, Microsoft, Meta, and Hugging Face
• Best modern career-page search to test: Hiring.cafe
• Best founder/hiring-manager discovery source: Hacker News “Who is Hiring?”

The best strategy is not to use one board. Use a small stack: one AI-only board, one broad board, one startup or remote board, and a shortlist of company career pages.

How to use this guide

AI job titles are inconsistent. A role called “AI engineer” at one company may be closer to backend engineering with LLM APIs. At another, it may require deep experience with model training, evaluation, retrieval systems, or production ML infrastructure.

When searching, try several keyword groups:

• Engineering: AI engineer, machine learning engineer, ML engineer, LLM engineer, MLOps engineer, AI infrastructure engineer
• Research: research scientist, research engineer, applied scientist, alignment researcher, evaluation researcher
• Product and business: AI product manager, AI strategist, AI solutions architect, AI consultant
• Data: data scientist, computer vision engineer, NLP engineer, analytics engineer
• Content and operations: prompt engineer, AI content specialist, AI automation specialist, AI trainer
• Safety and policy: AI safety, AI governance, AI policy, model evaluation, responsible AI

Also search by technology: “LLM,” “RAG,” “LangChain,” “PyTorch,” “transformers,” “vector database,” “fine-tuning,” “agentic workflows,” “computer vision,” “NLP,” and “reinforcement learning.”

Search terms that work better than “AI jobs”

Try combining job boards with specific 2026 AI hiring terms:

• “LLM engineer”
• “Generative AI engineer”
• “AI product manager”
• “AI agent engineer”
• “AI automation specialist”
• “Machine learning engineer”
• “MLOps engineer”
• “AI platform engineer”
• “Inference engineer”
• “AI evaluation specialist”
• “AI red team”
• “AI safety researcher”
• “AI governance”
• “Model risk management”
• “Data engineer AI”
• “Prompt engineer” — still used, but often folded into product, automation, or LLM application roles

Example search: LLM engineer remote site:greenhouse.io OR site:lever.co

Example LinkedIn or Google search: ("LLM" OR "generative AI" OR "AI agents") ("remote" OR "hybrid") ("engineer" OR "product manager")

Related AiBest.site career guides

Use this page with Entry-Level AI Jobs Without Coding, Remote AI Work Opportunities, AI Job Interview Preparation Guide, AI Skills Salary Premium Statistics, and Data Scientist vs. ML Engineer.

Best AI-only job boards

ai-jobs.net

Best for: AI, machine learning, data science, and big data roles.

ai-jobs.net is one of the more focused job boards for AI and data roles. It is useful if you want fewer irrelevant listings than you typically get on large general job sites. You can find roles across machine learning engineering, data science, analytics, research, and AI infrastructure.

Use it when you want a targeted feed of AI-related openings without constantly filtering out unrelated software jobs.

Good fit for: machine learning engineers, data scientists, AI engineers, MLOps candidates, data infrastructure candidates, and researchers looking for industry roles.

Watch out for: As with any niche board, volume can vary by region and seniority. Pair it with LinkedIn or Google job search results for broader coverage.

AIJobs.com

Best for: Dedicated AI job search with a simple AI-focused positioning.

AIJobs.com is another AI-specific job board worth checking, especially if you want roles grouped around artificial intelligence rather than general software engineering. It can be useful for scanning the market and identifying companies hiring for AI-related work.

Good fit for: candidates searching for AI engineer, prompt engineer, machine learning, and AI product roles.

Watch out for: Check each employer carefully. Smaller boards can include reposted or syndicated roles, so always verify the role on the company’s own career page before applying.

Best broad job boards for AI roles

LinkedIn Jobs

Best for: Networking plus job search.

LinkedIn remains one of the most important places to search for AI jobs because it combines listings, recruiters, company pages, and professional networking. For AI roles, the real advantage is not just applying. It is finding hiring managers, employees on the team, and recruiters who specialize in AI hiring.

Use LinkedIn alerts for “AI engineer,” “machine learning engineer,” “LLM engineer,” “AI product manager,” “AI safety,” and “prompt engineer.” Before applying, check whether someone in your network works at the company. A warm referral can matter more than another résumé upload.

Indeed

Best for: Large job volume and mainstream employers.

Indeed is useful because it indexes a wide range of jobs, including roles from companies that may not advertise on niche AI boards. It is especially helpful for regional searches and non-startup employers.

Good fit for: entry-level and mid-level candidates, local or hybrid AI roles, data analyst and data science roles with AI responsibilities, and AI-adjacent jobs in healthcare, finance, manufacturing, education, and operations.

Watch out for: Search quality can be noisy. Use exact phrases and filters to avoid unrelated roles that only mention AI casually.

Glassdoor

Best for: Company research before applying.

Glassdoor is most useful after you find a role elsewhere. Use it to research salary ranges, employee reviews, interview experiences, and company culture. For AI roles, this can help you spot whether a company has a serious AI team or is simply adding “AI” to job descriptions.

Google job search results

Best for: Capturing job listings from many sources through Google Search.

Google job search results are best used as an aggregator, not a job board. They can surface listings from company career pages, job boards, and applicant tracking systems. Search phrases like “AI engineer jobs remote,” “machine learning engineer jobs Python,” “LLM engineer jobs,” and “AI product manager jobs.” Then use filters for location, date posted, and job type. Always verify the posting on the employer’s official careers page before applying.

ZipRecruiter

Best for: Broad coverage and job alerts.

ZipRecruiter can be useful for high-volume job searches, especially for AI-adjacent roles in business operations, marketing, automation, analytics, and software engineering. It may not be as targeted as AI-only boards, but it can surface opportunities at companies outside the typical tech bubble.

Best tech-focused boards

Dice

Best for: Technical roles in software, data, cloud, and infrastructure.

Dice is useful for AI roles that overlap with software engineering, cloud infrastructure, data engineering, cybersecurity, and enterprise IT. Search for machine learning engineer, AI engineer, data scientist, MLOps, Python engineer AI, and cloud AI engineer.

Built In

Best for: Tech companies and startup-like teams.

Built In lists tech and startup jobs across many cities and remote categories. It can be useful for AI product, engineering, data science, and go-to-market roles at growing companies.

Best startup AI job boards

Wellfound

Best for: Startup jobs and early-stage companies.

Wellfound is one of the best places to look for AI startup roles, especially if you want to join a smaller team where responsibilities are broad. You may find founding engineer roles, AI product roles, applied ML roles, and startup operations roles involving AI.

Watch out for: Early-stage startups can move fast but may have less structure, lower cash compensation, or changing priorities. Ask about funding, runway, team size, and what “AI” actually means in the product.

YC Work at a Startup

Best for: Jobs at Y Combinator-backed companies.

YC Work at a Startup is a strong source for roles at venture-backed startups, including many AI-native companies. If you want to work close to founders, this is one of the better places to search.

Otta / Welcome to the Jungle

Best for: Curated startup and tech roles.

Otta, now part of Welcome to the Jungle, is known for a more curated job search experience. It can be useful for candidates who want startup and scaleup roles without browsing endless low-quality listings.

Best remote AI job boards

Remote OK

Best for: Remote-first startup and tech roles.

Remote OK often includes remote developer, AI, data, and product roles. It is useful if location flexibility is a top priority.

We Work Remotely

Best for: Remote programming, product, and tech jobs.

We Work Remotely is one of the more established remote job boards. It may not be AI-specific, but it is worth checking for remote engineering and product roles that mention AI or machine learning.

FlexJobs

Best for: Vetted remote and flexible jobs.

FlexJobs is useful for people who want a more curated remote-job experience and are willing to consider a paid platform. It can be especially helpful for flexible, hybrid, part-time, or nontraditional work arrangements.

Remotive

Best for: Remote startup and software roles.

Remotive is another remote job board to include in your rotation. It is useful for software, product, marketing, and startup roles, including roles where AI skills are a plus.

Arc

Best for: Remote developer jobs and global hiring.

Arc focuses on remote developer roles and can be useful for AI engineers, Python developers, full-stack engineers working with AI products, and contractors looking for international opportunities.

Best freelance AI job sites

Upwork

Best for: Freelance AI projects and client work.

Upwork is one of the largest freelance marketplaces, and AI-related projects are common. You may find work involving chatbots, automation, data analysis, AI content workflows, LLM integrations, prompt design, and custom tools.

Watch out for: Project quality varies. Avoid vague posts that ask for “an AI app like ChatGPT” without budget, scope, or technical details.

Toptal

Best for: Higher-end freelance and contract work.

Toptal positions itself around vetted talent. It can be a better fit for experienced developers, ML engineers, and consultants who want more selective client work.

Turing

Best for: Remote developer and AI-related engineering roles.

Turing can be useful for remote engineering roles, including AI and ML-adjacent work. It is especially relevant for developers who want global remote opportunities.

Best AI safety and impact-focused job sources

80,000 Hours

Best for: AI safety, governance, policy, and high-impact career paths.

80,000 Hours is one of the most important resources for people interested in AI safety and socially impactful AI work. Its job board and career content can help you find roles in AI governance, technical safety, policy, research, and nonprofit work.

Effective Altruism and LessWrong communities

Best for: Community-sourced opportunities and research-adjacent roles.

Some AI safety and alignment opportunities are shared through community forums, newsletters, and networks rather than traditional job boards. The Effective Altruism Forum and LessWrong community can be useful for discovering organizations, reading research discussions, and learning which teams are hiring.

Watch out for: Community posts are not always formal job listings. Verify deadlines, role details, compensation, and organization legitimacy before applying.

Don’t skip direct company career pages

Many of the best AI roles never need much distribution because the company already has a strong applicant pipeline. If you care about frontier AI labs, infrastructure companies, or major AI product teams, check company pages directly.

Start with frontier AI labs such as OpenAI, Anthropic, Google DeepMind, Meta AI, Microsoft AI, and xAI; AI infrastructure companies such as NVIDIA, CoreWeave, Databricks, Snowflake, Together AI, and Hugging Face; and AI application companies such as Perplexity, Runway, ElevenLabs, Scale AI, Cohere, and Mistral AI.

Create a spreadsheet with company, role URL, date found, application status, referral contact, and follow-up date. For competitive AI roles, organization matters.

Other AI job sources worth checking in 2026

These are not always traditional job boards, but they can surface strong AI opportunities:

• Hiring.cafe: useful for searching directly across employer career pages with modern filters.
• Simplify.jobs: helpful for tech job discovery, internships, new-grad roles, and tracking applications.
• Levels.fyi Jobs: useful when compensation transparency is a priority.
• Hacker News “Who is Hiring?”: good for startup and engineering-heavy AI roles, especially when you want to contact founders or hiring managers directly.
• AI and ML newsletters: newsletters such as Data Elixir and ML-focused community lists can surface niche roles that do not always rank well on large job boards.

Use these sources as discovery channels, then confirm role details on the employer’s own careers page.

Resume and application tools for AI job seekers

AI jobs are competitive, and many applicants have similar keywords on paper. Your résumé needs to be specific: systems shipped, models evaluated, latency reduced, datasets built, users supported, revenue influenced, or workflows automated.

Useful tools to consider:

• Teal: Job tracking, résumé customization, and application organization.
• Jobscan: Résumé and ATS keyword matching.
• Kickresume: Résumé and cover letter builder.
• Resume.io: Resume templates and builder.
• Rezi: ATS-focused résumé writing and optimization.
• Enhancv: Visual résumé builder and career documents.
• FlexJobs: Vetted remote and flexible job listings.

Use these tools as support, not as a replacement for substance. A polished résumé will not fix vague experience. Strong AI applications show concrete projects, technical judgment, and clear impact.

AI job scam and privacy checklist

AI job seekers should be careful. Scammers often use remote-work excitement, high salaries, and AI hype to lure applicants.

Before applying or interviewing, check:

• Is the job listed on the company’s official career page?
• Does the recruiter use a real company email domain?
• Are they asking for payment? Legitimate employers do not charge candidates for equipment, onboarding, or interview access.
• Are they asking for sensitive documents too early? Do not send passport scans, tax forms, or banking details before verifying the employer.
• Is the salary unrealistically high for the role?
• Is the interview only via text chat?
• Are you asked to install unknown software?
• Does the job description sound copied or generic?

For privacy, use a job-search email address, avoid putting your full home address on your résumé, and be careful about uploading sensitive work samples or proprietary code.

A simple weekly AI job search routine

A good AI job search is consistent, not frantic.

1. Monday: Check AI-only boards and save relevant roles.
2. Tuesday: Search LinkedIn, Google job search results, and Indeed with fresh filters.
3. Wednesday: Review startup boards like Wellfound and YC Work at a Startup.
4. Thursday: Check direct company pages for your top 20 companies.
5. Friday: Send targeted applications and referral messages.
6. Weekend: Improve one portfolio project, résumé bullet, or case study.

Track everything. If you apply to 50 roles with no interviews, revise your targeting and résumé. If you get interviews but no offers, work on technical interview prep, project explanation, and role fit.

FAQs

What is the best job board for AI jobs?

There is no single best job board for every AI job seeker. For focused AI and machine learning roles, start with ai-jobs.net and AIJobs.com. For broader coverage, use LinkedIn and Google job search results. For startups, use Wellfound and YC Work at a Startup. For remote roles, check Remote OK, We Work Remotely, FlexJobs, Remotive, and Arc.

Where can I find entry-level AI jobs?

Entry-level AI jobs are often listed as data analyst, junior data scientist, machine learning intern, AI product analyst, automation specialist, or junior software engineer with AI responsibilities. Search broad boards like LinkedIn, Indeed, Google job search results, Built In, and company career pages. Also consider internships, apprenticeships, research assistant roles, and AI-adjacent operations roles.

Are prompt engineering jobs still real in 2026?

Yes, but standalone prompt engineering roles are less common than broader AI workflow roles. Many employers now expect prompt skills as part of product, operations, marketing, automation, or engineering jobs. Search for “prompt engineer,” but also search for “AI automation,” “LLM specialist,” “AI content operations,” and “AI product specialist.”

Where should I look for AI safety jobs?

Start with 80,000 Hours, AI safety organization career pages, research lab career pages, Effective Altruism community resources, and LessWrong community discussions. Also search for terms like AI governance, model evaluation, responsible AI, alignment, policy, and frontier model safety.

Should I apply through job boards or company websites?

If possible, verify and apply through the company’s official career page. Job boards are excellent for discovery, but company pages are usually the source of truth. If you have a referral, use it before applying.

Final recommendation

For most AI job seekers, the best approach is a focused search stack:

• One AI-only board for targeted listings
• One broad board for volume
• One startup or remote board based on your preference
• A shortlist of direct company career pages
• A résumé and application tracker

AI hiring is competitive, but it is also broad. The candidates who do best are not just searching for “AI jobs.” They are matching their skills to specific role types, verifying companies carefully, and applying with clear evidence of what they can build, improve, or ship.