aijobster.work

AI Jobster lists AI and technology roles across engineering, research, product, design, marketing, operations, and legal — at companies including Scale AI, Snorkel AI, OpenArt, Amplemarket, Bobyard, Fonio, and Monaco People. Listings span remote, on-site, and multi-location arrangements, and many include salary ranges and skill tags. As of the site's current listing count, it shows 9,071 jobs.

Job categories you'll find

The listings are not limited to machine learning engineering. Based on current postings, the range covers:

This means the site is useful if you work in AI-adjacent functions, not just if you write models.

Work arrangements

Postings use three main formats:

• Remote — e.g., Forward Deployed Researcher at Snorkel AI (New York, Redwood City, San Francisco), Senior Content Marketing Writer at OpenArt (San Carlos), Data Annotation Specialist at Bobyard.
• On-site — e.g., Senior Software Engineer at Scale AI (San Francisco), Staff Product Manager at Bobyard (San Francisco), Content Creator roles at Fonio (Campinas, Vienna, London).
• Multi-city or region-specific remote — e.g., Senior/Staff Product Designer at Amplemarket (Remote EMEA), Creative Lead at OpenArt (Pakistan, UAE).

If location flexibility matters to you, filter by these labels before reading further into a listing.

Salary and skill details

Some — not all — listings publish compensation and required skills:

• Salary ranges shown: Senior Software Engineer at Scale AI ($252k–$315k), Forward Deployed Researcher at Snorkel AI ($180k–$300k), Corporate FP&A Manager at Snorkel AI ($125k–$180k), Legal Counsel at OpenArt ($220k–$250k), Staff Product Manager at Bobyard ($170k–$190k), and several Fonio content roles ($17k–$100k depending on market and seniority).
• Skill tags shown: Docker, CSS, TypeScript, Azure, GCP (Scale AI); Python (Snorkel AI); Figma (Amplemarket); PyTorch, Python (Bobyard); Ads (OpenArt, Fonio).

Treat missing salary as "not stated in the listing," not as unpaid or negotiable by default.

How to use this to decide

• If you want AI research or ML engineering, look at Scale AI, Snorkel AI, and Bobyard listings first — they carry the most technical tags.
• If you want remote-first work, prioritize listings explicitly labeled Remote; multi-city remote roles may still require eligibility in specific countries.
• If you want non-technical AI industry roles, the marketing, legal, HR, and finance postings show the industry hires well beyond engineering.
• If compensation transparency matters, start with the listings that publish ranges and skip the rest unless the company is a strong fit.

For match-based filtering, AI Jobster also offers an AI Match Score that compares your uploaded resume against each listing — useful once you've narrowed down which categories above apply to you.

AI Jobster's AI Match Score is a resume-based matching feature: you upload your resume, the site's AI reads your skills and experience, and it then generates a personalized score for each job listing so you can prioritize the roles where you're the strongest fit. It is not automatic — the page states you must sign up to unlock your AI Match Score, so the feature sits behind an account.

What the AI Match Score does

According to AI Jobster's own description, the feature works in three stages:

1. Upload your resume — you provide the document that describes your skills and experience.
2. The AI reads your skills & experience — the system parses that content rather than relying on a manually filled profile.
3. You get a match score — a personalized score is produced for every job listing, not just one.

The stated purpose is to let you "apply smarter" by focusing on roles where you are the strongest fit, rather than applying broadly across the 9,071 listings the site advertises.

How to use it

The flow implied by the page is short:

• Create an account / sign up on AI Jobster.
• Upload your resume when prompted.
• Browse job listings and check the match score attached to each one.
• Prioritize applications to the highest-scoring roles.

Alongside the score, the site also offers personalized recommendations and weekly curated alerts, plus application tracking. The page shows a "Subscribe to Weekly Job Alerts" prompt, so job alerts involve a subscription step.

What the score is based on

Based on the page's wording, the inputs are your skills and experience as extracted from your resume. The output is a per-job score — the same resume produces different scores across different listings, which is what makes it useful for ranking.

What the page does not specify: the scoring scale (e.g., 0–100 or percentage), the weighting of individual factors, whether education, location, or salary preferences are considered, or how often scores refresh after you edit your resume. Treat any specific number you see as a relative signal for ranking jobs, not as a prediction of hiring outcome.

Practical caveats

• Resume quality drives the result. Since the AI reads your resume text, a vague or keyword-poor resume will produce weaker matches. Use concrete skill names and tools — the listings themselves tag skills like Python, PyTorch, Figma, Docker, and TypeScript, so mirroring that vocabulary helps.
• A high score is not a shortlist. It reflects resume-to-listing similarity, not employer interest. The listings shown span engineering, research, product, design, marketing, legal, HR, and operations roles, so a score only compares you against one posting at a time.
• Sign-up is required. You cannot see your match score without registering, per the page.

Who it's for

The feature is most useful if you're applying to many AI and tech roles and want a filter for where to spend effort — for example, deciding between a Senior Software Engineer role at Scale AI and a Forward Deployed Researcher role at Snorkel AI. If you're applying to only one or two positions, the score adds little beyond reading the requirements yourself.

AI Jobster is a job board that aggregates AI and technology roles from companies like Scale AI, Snorkel AI, and OpenArt. You can browse listings by category (remote, engineering, top companies), filter by fit using the AI Match Score, and apply through each listing's "Apply Now" button. The site currently shows 9,071 jobs. This guide covers the practical steps, what each feature actually does, and where the process can stall.

Browsing the job listings

The homepage surfaces jobs directly, so you don't need an account to start scanning. Each listing card shows:

• Job title and company
• Category (Engineering, Solutions, Marketing, Product, People, Legal, Operations, Customer Success)
• Work mode — On-Site or Remote
• Location (city, region, or "Remote" with eligible countries)
• Salary range where the employer provides one
• Skill tags such as Python, PyTorch, Figma, Docker, TypeScript, Azure, GCP
• Age of posting (e.g., "6 days ago")

Navigation categories named on the site include Remote Jobs, Engineering Jobs, and Top Companies. Use these when you want to narrow the list before reading individual postings.

Reading a listing before you apply

Salary transparency varies. Some postings show explicit ranges — for example, a Senior Software Engineer role at Scale AI lists $252k–$315k, and a Legal Counsel role at OpenArt lists $220k–$250k. Others, like the Research Fellow at Snorkel AI, show no range at all. Treat a missing range as unknown, not as negotiable-by-default.

Location also varies in format. Some roles list a single city; others list several (e.g., "New York, Redwood City, San Francisco, United States") or a region like "EMEA." Check whether the role is Remote, On-Site, or a hybrid before investing time in an application.

Using the AI Match Score

The AI Match Score is the site's main filtering mechanism, and it works in three steps:

1. Upload your resume. The site states its AI reads your skills and experience from the document.
2. Receive a match score. You get a personalized score for every job listing.
3. Apply selectively. The stated purpose is to focus on roles where you're the strongest fit.

Two conditions matter here. First, the Match Score requires signing up — the homepage says "Sign up to see how well you match with every job listing." Second, the score is only as good as your resume text; if your skills aren't written in terms the listings use (e.g., "PyTorch" rather than "deep learning frameworks"), the match will understate your fit.

A practical approach: upload a resume tailored to the role family you're targeting (engineering vs. marketing vs. product), since a single general-purpose resume will score poorly against listings in unrelated categories.

Subscribing to weekly job alerts

The site offers "Subscribe to Weekly Job Alerts" and describes them as "weekly curated alerts." This is the low-effort way to keep the pipeline moving without revisiting the board manually.

The homepage also mentions tracking applications as a feature. If you apply to multiple roles, use whatever tracking the site provides rather than relying on memory — application status is easy to lose across a dozen listings.

Applying through a listing

Each job card has an Apply Now button. The board itself is an aggregator: the application typically routes to the employer's own system, so expect a second form (and possibly an account creation) on the company side. Budget time for that step — it's the most common place where a promising application stalls.

Before clicking Apply Now, confirm three things from the listing:

Common snags

• Match Score looks wrong. Usually a resume-formatting or keyword issue, not a scoring bug. Rewrite skills using the same terms the listings use.
• "Remote" isn't global. Read the location field in full — several listings pair "Remote" with a specific country or region.
• No salary shown. This is common on the board; it doesn't signal anything about the offer, only that the employer didn't publish a range.
• Listing age. Cards show posting age (e.g., "10 days ago"). Older listings are more likely to be filled or paused, so prioritize recent ones.

Who this works for

AI Jobster suits candidates who want a single board covering AI, ML, data, and adjacent tech roles across engineering, product, marketing, and operations — and who are willing to upload a resume to get match-based filtering. If you prefer to apply without creating an account or sharing a resume, you can still browse and use the Apply Now links, but you'll lose the Match Score and alert features.

AI Jobster is a job aggregation platform focused on AI and technology roles. At the time of the site data, it lists 9,071 open positions from companies such as Scale AI, Snorkel AI, OpenArt, and others, spanning engineering, research, product, marketing, legal, and people functions. It is most useful if you want a single place to scan AI/tech openings — including remote roles — and you are willing to sign up to use its matching features.

What the platform offers

The site organizes jobs into categories and tags, and shows a mix of on-site and remote listings. From the sample listings, roles range from senior engineering and research positions to marketing, design, HR, and legal roles, so it is not strictly limited to technical jobs.

How the AI Match Score works

The site describes a three-step flow:

1. Upload your resume — the platform reads your skills and experience.
2. Get a match score — each job listing receives a personalized score based on your profile.
3. Apply smarter — you focus on roles where you are the strongest fit.

The practical value here is filtering: instead of reading every listing, you can prioritize roles the system scores highly for you. The trade-off is that the score depends entirely on how well your resume is written and parsed, so a weak or vague resume will produce less useful scores.

What kinds of jobs are listed

The listings shown include a wide spread of seniority and function:

• Engineering and research: Senior Software Engineer (Agentic Tooling), Forward Deployed Researcher, Computer Vision Research Engineer (Intern), Data Annotation Specialist
• Product and design: Staff Product Manager, Senior/Staff Product Designer
• Marketing and content: Creative Lead, Senior Content Marketing Writer, SEO Manager, Content Creator roles
• Operations, people, and legal: Recruiting Generalist, HR Generalist, Legal Counsel, Corporate FP&A Manager

Many listings include salary ranges (for example, $252k–$315k for the Scale AI senior engineering role, or $180k–$300k for the Snorkel AI researcher role) and skill tags such as Python, PyTorch, Docker, TypeScript, and Figma. Location tags show a heavy US presence (San Francisco, New York, Redwood City) alongside remote roles and some international on-site roles (Vienna, London, Campinas).

Who it is for

AI Jobster fits you if:

• You are targeting AI, machine learning, or broader tech roles and want one aggregated feed.
• You want remote-friendly options surfaced alongside on-site ones.
• You want a matching tool to help prioritize applications rather than manually screening hundreds of listings.

It fits you less well if you want direct employer relationships, detailed company reviews, or a platform that does not require sign-up for its core matching feature.

Practical notes before you use it

• Sign-up is required for the match score. The site prompts you to sign up to see how well you match with each listing, so the personalized features are gated behind an account.
• The site references a subscription for weekly job alerts. The available data does not specify pricing, so treat the cost as unconfirmed and check the site directly before committing.
• Listing freshness varies. Sample listings range from 5 to 11 days old at the time of the data, so check posting dates before investing time in an application.
• Salary data is not universal. Some listings show ranges; others (like the Research Fellow or Data Annotation Specialist roles) do not.

If your goal is simply to see what AI and tech roles exist right now, you can browse without an account. If your goal is to use the match score and weekly alerts, plan on creating an account and confirming any subscription terms first.

AI Jobster's homepage has a "Subscribe to Weekly Job Alerts" entry point, and the site describes the result as personalized recommendations and weekly curated alerts. If you want a recurring digest of new AI and tech roles instead of checking the job board manually, that subscription is the mechanism to use. The exact sign-up form fields, confirmation flow, and whether an account is required are not specified in the available site information, so treat the steps below as the general path and expect the live form to define the details.

What the weekly job alerts give you

Based on the site's own description, the subscription is tied to these outcomes:

• Weekly curated alerts — a recurring digest rather than a real-time feed.
• Personalized recommendations — the site pairs alerts with an AI Match Score feature, which reads your skills and experience from an uploaded resume and produces a score for each listing.
• Application tracking — the site lists "Track applications" alongside the alerts, suggesting the same area of the product supports following up on roles you've applied to.

The job board itself currently shows 9,071 jobs across engineering, research, product, marketing, legal, and other functions, with many remote and on-site listings at companies such as Scale AI, Snorkel AI, and OpenArt. A weekly digest is most useful when you want a filtered slice of that volume rather than browsing all of it.

Steps to subscribe

1. Go to the AI Jobster homepage (aijobster.work). The subscription entry point appears in the welcome section near the top.
2. Find the "Subscribe to Weekly Job Alerts" control. It sits in the same block as the "Unlock Your AI Match Score" prompt, so you may need to scroll slightly past the headline.
3. Enter your email address in the subscription field. This is the standard input for a weekly digest; the site does not document additional required fields.
4. Submit the form and confirm if prompted. Many alert services send a confirmation email before activating the subscription — check your spam folder if nothing arrives.
5. Optionally upload your resume through the "Upload Your Resume" step if you want the alerts personalized. The site states its AI reads your skills and experience to generate a match score, which is what makes the recommendations targeted rather than generic.
6. Wait for the weekly send. Alerts are described as weekly, so the first digest arrives on the service's schedule, not immediately.

Verifying it worked

• You receive a confirmation message or email after submitting.
• The first weekly digest arrives with job listings, ideally ranked or matched to your profile if you uploaded a resume.
• If you uploaded a resume, you can check whether match scores appear on individual job pages — that confirms the personalization side is active.

Common snags

• No confirmation email. Check spam or promotions folders; alert services are frequently filtered.
• Generic instead of personalized alerts. This usually means no resume was uploaded, so the match score has nothing to work from.
• Expecting daily updates. The site describes the alerts as weekly, so a quiet inbox between sends is normal.
• Unclear pricing. The site's pricing signals reference "subscribe," but no pricing page or payment details are provided in the available information. Do not assume the alerts are free — check the sign-up form for any terms before committing.

Who should use this

Subscribe if you're actively scanning the AI and tech market and want a low-effort weekly roundup, especially if you'll also upload a resume to get match scores. Skip it if you're only looking at one or two specific companies, since checking those career pages directly will be faster than waiting for a digest.