Find AI, machine-learning and data-science vacancies using role, location and job-type filters, with company pages and employer posting options.
AIJobs.ai
Explore features, practical uses and pricing below.
AIJobs.ai is a specialist job board for artificial intelligence, machine learning and data-science careers. It brings role listings and company information into a searchable website. Technical candidates can explore engineering, research and data work, while people in sales, marketing, operations and product roles can look for opportunities at AI-focused companies.
The practical use is job discovery. A listing's title may mention AI without describing a model-development role, so the detailed responsibilities matter more than the label. The board can help create a shortlist; the employer decides qualifications, hiring stages and whether an application proceeds.
The jobs page provides keyword and location inputs alongside job-type, salary and tag filters. Tags include machine learning, computer vision, data science, MLOps, entry-level and remote work. Job types distinguish full-time, part-time, contract, internship, freelance and temporary work. These controls help narrow a broad career interest into a manageable set of listings.
The company directory adds company-name and location search, industry filters and links to open positions. It can be useful when a candidate wants to investigate an employer rather than search only by title. A company entry with no displayed openings is still different from an active vacancy.
Individual job pages provide the employer's role description and requirements. For example, the reviewed technical account manager listing describes engineering implementation and client responsibilities together. Reading that detail reveals a different fit from assuming an account-management title means a purely commercial position.
For someone seeking a machine-learning engineering role, begin with a specific title or skill and a realistic location. Apply relevant job-type filters, then read several full descriptions. Record the required experience, working arrangement, core technical skills and application destination for roles that appear suitable.
Investigate each shortlisted employer through its company entry and official careers page. Compare the role with your actual projects and identify evidence you can discuss in an interview. Prepare an application for the employer's requirements rather than reusing the same claims for every vacancy. Follow the listing's application route and keep your own record of the role, date and submitted material.
If the search is too narrow, change one filter at a time. A related title may describe similar work, while a role tagged remote can still restrict the countries or time zones from which someone may work.
Job-board information can become outdated as employers fill, revise or withdraw roles. Confirm that the vacancy remains on the employer's official site before investing substantial application time. Salary fields may be absent or incomplete, and a filter cannot establish work authorization, sponsorship or eligibility.
A company directory is a starting point for research, not an endorsement of the employer. Review the responsibilities and hiring contact independently. The reviewed pages do not establish automatic application submission or AI resume rewriting as core board features.
Public job and company pages can be browsed without purchasing an employer posting. The pricing page lists a USD299 single job post for 30 days, with placement and company-page features, plus multi-post packs and an optional highlight add-on. Those prices concern recruiters publishing vacancies. Confirm checkout terms and the required account access before posting or applying; purchasing visibility does not guarantee applications or hires.