RemNavi/Trends

How the remote job market is moving.

Daily-updated record of the RemNavi audit corpus — listing volume, classifier mix, salary disclosure rate, and per-source / per-category breakdowns. Every figure on this page comes from a deterministic nightly snapshot. Released under CC BY 4.0; no permission needed to cite.

Snapshot: 2026-04-29 · live recording started 2026-04-29 · 91 days in series

Today

Headline numbers.

Today's live snapshot, with the last 30 days alongside.

Active listings

8,860

Salary disclosure

18.7%

1,660 of 8,860

Hybrid share

42.6%

3,775 hybrid · 5,075 remote

Median salary

$210k

p25 $156k · p75 $262k

Salary transparency

Salary disclosure rate over time.

The percentage of listings in the audit corpus that publish a salary range. Reconstructed from posted_at for dates before live recording started; the dashed line marks the transition.

8%20%33%45%58%01-2902-2003-1504-0704-29live recording →

Reconstructed values for dates before 2026-04-29 are approximated from `posted_at` timestamps. The salary-from-text parser shipped 2026-04-21, so older dates may underrepresent transparency. Live recording values are deterministic.

Volume

Active listings over time.

Corpus size — every listing the audit currently tracks. The classifier-tightening pass on 2026-04-29 dropped general-ATS listings without explicit remote signal; the visible step-down on that date reflects the cleanup, not market shrinkage.

02.4k4.9k7.3k9.7k01-2902-2003-1504-0704-29live recording →

Classifier mix

Remote vs hybrid share.

Per-listing classification (remote / hybrid) tracked since 2026-04-29. Earlier dates show corpus volume but not work-mode mix — those columns came online with the Hybrid Transparency Score on 2026-04-24.

Not enough data yet to chart. Daily recording continues — check back as the series fills in.

By source

Listing volume by aggregation source — today.

Per-source breakdown of the corpus. Trusted remote-only boards and general ATS sources both contribute. Apply the auditor's lens: source quality varies, and we score every listing on the same rubric regardless of where it came from.

4DayWeek
680
42.5% salary
Ashby:openai
455
79.8% salary
Greenhouse:anthropic
444
0% salary
Greenhouse:mongodb
432
0% salary
Greenhouse:datadog
417
0% salary
Greenhouse:okta
368
0% salary
Greenhouse:cloudflare
363
1.4% salary
Greenhouse:remotecom
282
2.8% salary
Greenhouse:canonical
278
0% salary
Ashby:deel
239
0% salary
Greenhouse:brex
223
27.4% salary
Greenhouse:gitlab
201
0% salary

Pull a per-source time series via /jobs_api.php?facet=trend_by_source&source=Greenhouse:stripe.

By role family

Listing volume by category — today.

Top role families in the corpus. Salary-disclosure rates vary widely between categories — Engineering and Marketing typically lead; Customer Success and Finance trail.

Marketing & Sales
2,381
$193k median
Tech
2,271
$230k median
Operations
859
$194k median
Customer Service
829
$155k median
Data
804
$239k median
Other
554
$198k median
Finance & Legal
449
$181k median
Creative
145
$214k median
operations
32
$83k median
Finance
28
$167k median
All Other Remote
25
Writing & Content
24
$158k median

Pull a per-category time series via /jobs_api.php?facet=trend_by_category&category=Engineering.

Methodology

How the trend data is recorded.

Daily snapshot. Every day at 02:50 CET, after the overnight ingest, a deterministic recorder reads the live corpus and writes one row per metric per date into four append-only tables: daily_metrics, daily_metrics_by_source, daily_metrics_by_category, daily_metrics_by_company. Re-runs on the same date overwrite that day's row — the table only ever holds one row per date.

Reconstructed history. For dates before the recorder began (live recording started 2026-04-29), we reconstruct an approximate snapshot from posted_at timestamps — counting listings active in a 60-day window ending on that date. Reconstructed rows are flagged is_reconstructed=1 and shown in a lighter background on the charts. They cannot include hybrid-classifier data (that schema landed 2026-04-24) or HTS scores.

Step-changes are labelled. When a methodology change shifts a series — for example the 2026-04-29 ingest filter that excluded ambiguous-onsite listings from general ATS sources — we annotate the chart with the date and cause. We do not silently restate prior data.

Open data. Every figure on this page is reproducible from the public endpoints listed above. Republish in articles, research, AI training, or competitor products — attribution to "RemNavi" is required by the CC BY 4.0 licence.

For researchers

Cite the trends.

Suggested citation

RemNavi (2026). Remote Job Market Trends. Retrieved 2026-04-29 from https://remnavi.com/trends/. Released under CC BY 4.0.

Endpoints

Append &source=…, &category=…, or &company=… for time series.

For journalists

Working on a story about the remote job market?

Trend data is freshly recorded daily. If you need a custom cut — by region, by industry, with a different time window — email and we'll build it. Press response time: 4 business hours on UK / US Eastern weekday mornings.