Remote work from named employers, newest first

The 30-day count includes the postings we flag, so the pool you can apply to is about 9% smaller. The 31% is the share that came straight from a company's own hiring system; about 53% came through job boards and aggregator feeds, and the rest from sources we could not classify. Across our whole feed, remote or not, the split was about 28% direct and 58% boards. The median salary leans high because software, sales and healthcare roles state pay more often than support roles do. If you are looking at customer service or admin work, use the role figures further down, not the headline.

Healthcare is the biggest remote family in our feed, bigger than software engineering. Much of it is case management, patient access and scheduling, medical coding, pharmacy and clinical research, not bedside care. Customer service and software engineering come next, at very different pay. Data entry looks small below because about half of what came in was junk.

Counts are postings left after we drop flagged reposters, so they run a little under the totals on each role page. Families overlap a little: a remote nurse case manager counts under healthcare and nursing. Median pay uses only postings that state pay, in US dollars. AI training pay swings too much between per-task and hourly rates for one median to mean anything.

Not tied to a role? There are about 8,700 entry-level remote jobs in the same window, around 2,500 part-time remote jobs, and a small set of overnight remote jobs (just over 200).

Read the bars as what employers are willing to write down, not what people take home. Roughly a third of remote postings in our feed state any pay at all. Ranges are often wide on purpose. Faced with a $90k to $140k range for a project manager, we would plan around the lower half unless you match every line of the posting.

The quick sanity check we use: if a remote posting with no experience required promises more than a mid-level software engineer makes, it is either commission-only or not a job. Our guide to telling legit remote jobs from scams goes through the patterns.

This is the line most people skip, and it is the one that gets applications rejected without a reply. A posting can be 100% remote and still require you to live in one country, outside certain states, or online during a set block of hours. Payroll, tax registration and employment law are the usual reasons, not snobbery.

In the 30 days to November 7, 2026, about 45% of remote postings were tagged to the United States. Roughly 4 in 10 had no country tag at all or a country outside the top eight, and a missing tag does not mean worldwide. Open the posting and look for a sentence like "must reside in" or "eligible to work in".

If you are outside the US, start with the pages built for your country: remote jobs in India, the UK, Canada and the Philippines. They list postings tagged to that country or open to it.

Weekdays carry the load. In the month to November 7, Friday was the busiest day in our feed (about 19% of new remote postings) and Saturday plus Sunday together came to about 17%. Hiring teams publish when they are at work.

Age matters more than the weekday, though. About 61% of the remote postings in that 30-day window were already two weeks old or more. Older postings are not dead, but many are deep into interviews. When you have limited time, spend it on the ones posted this week; the cards above are sorted newest first for that reason.

The top of this chart changes week to week, but the mix is steady: AI training platforms, big health insurers and pharmacy chains, and remote-first software companies. In early November 2026 Mindrift led with about 540 postings, followed by CVS Health and Thermo Fisher Scientific. If one of these is your target, the company pages are quicker than searching: see CVS Health careers and GitLab careers, a company that has run fully remote for years. If the platform work interests you, our page on AI training jobs explains how that pay works, quiet weeks included.

A raw remote feed is noisy. We drop the worst of it before a card is shown. Here is exactly what the filter does, and what it cannot do.

Within what is left, newer postings come first, and postings from an employer's own hiring system or with stated pay get a small nudge up. What it cannot do is catch a brand-new scam account: the filter works from a list of known accounts, so a new one can slip through until it is on that list. Run the checks in our scam guide on anything that asks you to move to WhatsApp or Telegram, or to pay for equipment.