Is a paid job board worth it? An honest look at what $9 buys

TixelJobs reads AI and machine learning roles from more than 1,000 company career pages, on Greenhouse, Ashby, Lever, Workday and BambooHR boards, plus Indeed, LinkedIn, Google Jobs, Glassdoor, Y Combinator and RemoteOK. It does this twice a day. Each listing is filtered for AI relevance and reviewed before it goes live. The result at the moment is 50,447 approved listings across ML engineering, data engineering, robotics, NLP, MLOps, research, data science, computer vision, annotation and product roles.

The value is in the collection and the filtering. Most of those listings exist first on a company board that you could check yourself. What you are paying for is not access to secret jobs; it is not having to build and maintain the watchlist, and not having to wade through the non-AI roles that generic aggregators mix in.

A job board is a narrow tool, and it is better to know the edges before paying:

• It does not apply for you. Every apply link goes to the company's own form. You fill it in.
• It is not a recruiter. Nobody at TixelJobs calls a hiring manager on your behalf or forwards your resume.
• It does not guarantee anything. Being on the board does not make a role easier to get; it makes it easier to find.
• It does not know salaries the listing does not state. Only 6,979 of 50,447 listings, about 14%, include pay, and the board shows what is there.
• It does not verify that a role is still open beyond what the company board says. Companies leave stale listings up, and some of those reach the board.

Every list on TixelJobs is free to browse in full: the hubs, the country pages, the remote page and the search results, with the title, company, location and pay on every card. What membership adds is the apply link on each job, and the full description instead of the preview. There is one membership and one difference: where to apply.

Pricing is $9 for a year or $4.90 for three months. Sign in is with Google; there is no separate password to manage. You can cancel from the billing page at any time.

An honest list, because $9 spent on the wrong tool is still $9 wasted:

• If you are targeting fewer than about ten companies, bookmark their boards. Checking ten URLs takes five minutes and you will see the same listings on the same day.
• If you are not actively looking and just want to keep an eye on the market, browsing without a membership is enough to see what is being posted and at what level.
• If you need someone to advocate for you, a recruiter or a referral network is the right tool. A job board cannot do that.
• If your search is outside AI and machine learning, the board will be mostly irrelevant. It is filtered for this field on purpose.
• If you are looking for freelance or gig work, 223 contract and 113 part-time listings is a small pool. A specialist freelance platform will serve you better.

The people who get value from it are running a broad search: several titles, more than one country, or a specialty like NLP or MLOps where the roles are spread across hundreds of companies. Since February 2026, apply clicks through TixelJobs have gone 29% to ML engineer roles, 55% to remote roles and 46% to mid-level roles, with 32% to entry-level ones, which is roughly the profile of someone checking a large market daily rather than a short list.

It also suits people who are early in their search and do not yet know which companies hire for their specialty. Two weeks on the board, reading the hubs, gives a clear picture of who is posting and what they ask for, which is worth having before you narrow down.

You can settle this without paying anything:

• Open the hub for your title and the remote page. Read the listings on each. If they are the kind of role you want, the rest of the list is more of the same.
• Write down the ten companies you already watch. Search each one on the board. If the board has their listings and more like them, it is doing what you would otherwise do by hand.
• Estimate your weekly hours spent scanning boards. At $9 a year, the membership pays for itself if it saves one hour, ever.
• If you pay and it is not useful, cancel from the billing page. The quarterly plan at $4.90 is there so that a short search does not need a year.

Try the ML engineer jobs hub or the data scientist jobs hub first, since they are the biggest, then the remote AI jobs page and the entry-level AI jobs hub if those describe your search. The full search combines a title, a level and a country in one list. Browsing is free. Membership is $9 a year or $4.90 every three months and unlocks the apply link and the full description on every job. Cancel any time from your billing page.