Hello! I used an LLM to extract structured data from each comment on the “Ask HN: Who is Hiring? (January 2024)” post, available at: <a href="https://news.ycombinator.com/item?id=38842977">https://news.ycombinator.com/item?id=38842977</a>. This created a dataset of 400+ jobs with data such as title, company name, location, is job remote, salary data, and the URL/email to contact. For the UI, a NextJS static site was created to filter and view the structured data.
Good stuff. Remote is not a boolean though. It would be good to specify:<p>* Which countries can apply for the role (or is it Global)<p>* Which timezones can apply for the role (or is it Global)<p>If not specified you could assume you need to be a citizen of their country and in their time zone +/- 3 hours.<p>I think this is where an LLM can shine, it may be able to make good guesses about this stuff.