Original analysis from our active job dataset, plus transparent guides to sourcing, salary bands, and location eligibility. Every report shows its method, limits, author, and update date.
market research
Salary transparency is useful only when the sample and its limits are visible. This report analyzes the active roles on techjobsremote.org and explains exactly what the numbers can—and cannot—tell a candidate.
our methodology
A job board earns trust through provenance and removal discipline. This is the complete workflow used to turn an employer's public career-board record into a listing—and to remove it when the source closes it.
candidate guide
“Remote” describes where work happens, not necessarily where an employee may live. This guide explains the location language candidates should verify before spending time on an application.
monthly market report
This report turns the board's current inventory into a clearly scoped market snapshot: how many roles and companies are active, where listings concentrate, how fresh the supply is, and how much of it includes usable pay information.
regional pay analysis
Regional salary comparisons are easy to overstate. This analysis separates eligibility from residence, counts dual-region postings transparently, and explains how currency, compensation zones, seniority, and disclosure bias affect the result.
skills research
This report counts recognizable skill terms in the structured titles and tags of active engineering listings, then turns those signals into a portfolio and search strategy without claiming that missing metadata means a skill is not required.
AI labor research
AI hiring is broader than the words “AI engineer.” This report maps visible AI and machine-learning signals across active remote roles and explains how candidates can distinguish research, applied engineering, data, platform, and product work.
employer transparency
This analysis measures a narrow, useful behavior: whether an employer's active listings include a parseable annual USD pay band. It ranks coverage without treating disclosure as a complete judgment about compensation or workplace quality.
career-level analysis
Remote listings often skew toward experienced hires, but title labels are inconsistent. This report shows the board's normalized seniority mix and explains how candidates can search by evidence of scope instead of relying on one word in a title.
infrastructure research
Infrastructure hiring rarely reduces to one tool. This report counts visible DevOps tool and practice signals, explains what each cluster represents, and shows how to build evidence around reliability outcomes rather than keyword collecting.
Canada market guide
A US-headquartered employer can hire remotely without being able to employ someone in Canada. This guide measures explicit Canada eligibility on the board and explains payroll, jurisdiction, currency, time-zone, and work-authorization questions candidates should resolve.
location-language research
Location fields mix legal hiring boundaries, time-zone preferences, office labels, and work-style descriptions. This report shows how the board interprets those signals and gives candidates a repeatable way to resolve ambiguity.
research protocol
Career advice often turns one person's outcome into a universal rule. This protocol shows how to test a narrower question—such as whether a tailored work sample improves qualified responses—while controlling workload, protecting personal data, and reporting uncertainty honestly.