Hysen Labs
Open-source project
lukasz-madon/awesome-remote-job avatar
lukasz-madon

awesome-remote-job

A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python

47,574 stars4,740 forksUnknownLicense varies
01
DEEP OPEN-SOURCE ANALYSIS

Remote work reading, collected in one place

A curated list inspired by the awesome-python format that gathers articles, talks, books, and job boards about working remotely, maintained through pull requests.

02
DEEP OPEN-SOURCE ANALYSIS

Where it started

The repository describes itself as a curated list of awesome remote jobs and resources, and it says plainly that the format borrows from the awesome-python list, a well known collection that many later lists have copied. The README organizes everything into sections: languages, articles and posts, videos, books, and job boards. Notably, the list carries no recorded language or license, which is typical for a repository that exists mainly as a markdown document.

03
DEEP OPEN-SOURCE ANALYSIS

Articles, videos, and books

The reading material skews practical. Article titles cover mistakes to avoid when getting hired remotely, things learned from working remotely, tips to get more done, and lessons from years working remotely at Automattic. Other entries touch on tools for remote teams, communication tips, and accepting telecommuting project management. The video section includes talks like David Copeland on the effective remote developer and Jason Fried on why work does not happen at work. Books run from Remote: Office Not Required through Distributed Teams and The Ultimate Guide to Remote Work.

04
DEEP OPEN-SOURCE ANALYSIS

Job boards and one sponsored entry

The table of contents includes a job boards section pointing at places that post remote positions. There is also a sponsored entry, a privacy first email and collaboration platform with organization based pricing, which is a reminder that curated lists like this one often carry paid placements alongside community content.

05
DEEP OPEN-SOURCE ANALYSIS

How to contribute

Contributing is set up for low friction. The README describes editing the README through the GitHub interface and submitting a pull request, following the contribution guidelines. That keeps the barrier low for anyone who spots a good resource. The repository also lists a languages section with contribution instructions in the README itself, meaning the project is expected to keep growing in multiple languages.

07
DEEP OPEN-SOURCE ANALYSIS

Official sources

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Community notes

Community notes