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May 18, 20260 citationsOpen Access

RemNavi Remote Job Market Methodology: Data Aggregation, Transparency Scoring, and Open-Data Standards

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DMDezso Mezo

Key Points

  • This research aims to establish a comprehensive methodology for assessing remote job listings via transparency scoring and open data standards.
  • Aggregated remote job listings from major job boards and employers.
  • Developed Real Remote Score (RRS) and Hybrid Transparency Score (HTS) for job transparency.
  • Published methodology and dataset under an open-data license for accessibility.
  • Approximately 8,750 live remote job listings indexed as of May 2026.
  • RRS scoring rubric includes five pillars: Compensation, Location, Source, Role clarity, and Freshness.
  • Continuous updates and open data principles enhance transparency and reproducibility of job market analyses.

Abstract

RemNavi is an open remote-job-market index. It aggregates publicly accessible remote job listings from seven major remote job boards and ATS platforms - Jobicy, Remote OK, We Work Remotely, Remotive, Greenhouse, Lever, and Hacker News Who's Hiring - supplemented by specialised boards (Himalayas, Working Nomads, Arbeitnow, 4 Day Week, Crypto Jobs List, Golang Projects, Python.org Jobs, VueJobs, and the Ashby ATS) and over sixty direct employer ATS career pages. As of 2026-05-15 the corpus contains approximately 8,750 live listings. Every listing is scored on the Real Remote Score (RRS), a public 100-point five-pillar transparency rubric (Compensation 30; Location 25; Source 20; Role clarity 15; Freshness 10). Hybrid roles additionally carry a parallel Hybrid Transparency Score (HTS). This document is v1 of the RemNavi methodology. It covers: source inventory and inclusion criteria; ingestion cadence; deduplication; salary data treatment and the Remote Salary Index; the RRS and HTS scoring rubrics; scope and boundaries; the commercial model and editorial firewall; limitations and known biases; data availability and reproducibility; and the open-data licence. The methodology is designed to allow third-party researchers, journalists, and data scientists to reproduce, audit, and cite RemNavi's measurements of the remote job market - in particular for analyses connected to the EU Pay Transparency Directive (Directive (EU) 2023/970). The underlying dataset is published continuously under CC BY 4.0 at: Remote Salary Index (CSV + JSON): https://remnavi.com/tools/salary-index/ Market Index: https://remnavi.com/market-index/ Trends API: https://remnavi.com/trends/ The live, continuously updated methodology is at https://remnavi.com/methodology/. The full Real Remote Score rubric is at https://remnavi.com/real-remote-score-methodology/. Subsequent revisions will be deposited as new versions of this Zenodo record.

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Dezso Mezo (2026) studied this question.

synapsesocial.com/papers/6a0aad145ba8ef6d83b709c1https://doi.org/10.5281/zenodo.20234689
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