The Remote Job Audit

RemNavi collects and scores remote job listings from 57 different sources — large employer ATS feeds (Greenhouse, Lever, Ashby), pure-play remote platforms (Remote OK, Remotive, Himalayas, We Work Remotely), and a long tail of curated boards. We apply a single, five-dimension Real Remote Score (RRS) to every listing and publish the rubric openly at /real-remote-score-methodology/.

On the 2026-04-23 snapshot — 7,109 active remote listings from 243 employers across 57 sources — the distribution is badly skewed.

The surprise isn't that the bottom of the distribution exists. The surprise is which companies sit there.

When we separate listings by the platform that published them, a two-market structure emerges inside "remote."

Pure-play remote platforms score 45–70 on average. Remote OK's RSS-sourced listings average RRS 70. Webflow averages 51. Benchling (Ashby) averages 51. Himalayas averages 51. Remotive averages 49. These are platforms whose editorial filter explicitly pre-qualifies listings for remote quality.

The largest remote-friendly incumbents score 34–39. Cloudflare (469 openings) averages RRS 34. Stripe (492) averages 38. Anthropic (447) averages 37. MongoDB (434) averages 39. Datadog (430) averages 39. Airbnb (240) averages 39.

Those six companies represent 2,512 listings — 35% of the current remote job market. They average RRS 37.7 — 32 points below a median Remote OK listing.

The cause isn't corporate bad faith. It's structural. Pure-play platforms pre-filter for remote quality; remote-friendly incumbents list every role with a remote option, which pulls "remote, US-only," "remote, specific state list," and "remote, in-person expected" into the same pool as the genuinely location-independent roles. RRS doesn't judge intent; it scores what the listing actually says.

1. 0 of 7,109 active remote listings scored Exceptional (RRS ≥ 80). Only 5 scored Strong (65–79).
2. 52% of listings scored Weak (under 35/100). Another 43% scored Mixed (35–49). Just 4.7% scored Solid (50–64) or above.
3. The six largest remote-friendly incumbents — Cloudflare, Stripe, Anthropic, MongoDB, Datadog, Airbnb — average RRS 37.7 across 2,512 listings. That is 32 points below Remote OK's editorial-filtered listings (RRS 70).
4. 32% of all remote listings (2,266 jobs) don't specify a geography at all — neither "Worldwide" nor a country/region list. Geography-unspecified listings average RRS 37; geography-specified listings average RRS 43.
5. Only 6.78% of listings disclose a salary range (482 of 7,109). Among disclosed listings, the median is $184,750.

RRS v1 is a 100-point composite across five weighted dimensions:

• Compensation (25%) — does the listing publish a salary range?
• Location (25%) — does the listing specify geographic scope truthfully (Worldwide / Americas / EU / specific list), or is "remote" unqualified?
• Source (15%) — is the listing published through a verified ATS (Greenhouse / Lever / Ashby) or a curated remote platform, or re-syndicated through an unverified aggregator?
• Clarity (15%) — does the listing name the role, seniority, and team unambiguously?
• Freshness (20%) — was the listing posted within the last 30 days?

The full rubric — including weights, per-dimension scoring rules, and edge-case handling — is public at /real-remote-score-methodology/. Any employer whose listings appear in this Index can reproduce their own score from the published methodology, and, if the source data is wrong, contact us to correct it.

• RRS v1 is the instrument used for this issue. A v2 rubric is in holdout validation; no statistic here derives from it.
• Corpus is publicly-visible listings only. Internal redeployments, referral-only roles, and offline headhunting aren't in scope. The finding is about what employers advertise, not necessarily what they offer internally.
• Remote OK's RRS 70 reflects its editorial filter, not an endorsement of the platform as an employer. The finding is "curated sources surface cleaner signal than self-published remote," not "Remote OK is the best place to apply."
• Salary parsing is non-exhaustive. Some listings quote a range in the body that our parser didn't extract. 6.78% is a floor — but not a ceiling that would move the order of magnitude.
• "Geography unspecified" is not the same as "secretly US-only." We don't impute; we report what the listing says. The rubric penalises the ambiguity, not the implied geography.

1. Filter by source, not only by role. The RRS gap between pure-play remote platforms and large incumbents is wider than the gap between roles. A mid-level role from a curated source is often a better remote fit than a senior role at a remote-friendly incumbent.
2. Unspecified geography is a yellow flag. Not always a red flag — but worth one clarifying question before you invest in an application.
3. Salary disclosure is structural, not personal. The roles with the least disclosure are the ones with the largest internal spread (Legal, Principal Engineering, Staff+ roles). Don't over-read the absence of a range as cagey — read it as a market failure.

If your company is in the "remote-friendly incumbent" cohort scoring RRS 34–39, the lever is not to score higher on RRS — it's to be honest about what each listing is. "Remote, US-only, PST overlap required" scores better than plain "Remote," because the instrument rewards clarity, not promises. We have no commercial interest in any employer's score. The rubric is public and the data is downloadable.

In-text

RemNavi Remote Job Market Index, Q2 2026 Issue #1

URL

https://remnavi.com/market-index/2026-q2/

Data as of

2026-04-23

Licence

CC BY 4.0 — attribution requested to RemNavi Remote Job Market Index

Raw data

CSV and JSON at /market-index/ (download links at the bottom of the dashboard).

Contact

press@remnavi.com

The Remote Job Market Index is a data report produced by RemNavi (a DField Kft. digital product). We aggregate 50+ remote-job sources, apply a single rubric, and publish the findings under CC BY 4.0 so journalists, researchers, and policy teams can cite the numbers directly.

No paid placements in the Index. No applicant-data sale. No dark patterns. Revenue comes from paid Featured Listings shown separately in the RemNavi directory, never from influencing what appears in this Index or how it scores.

— Mező Dezső, publisher, on behalf of DField Kft.