Would I earn more working Remote or in the Office? I compared 63k jobs to find out
Hey,
I'm Sergio Pereira, and this is the Remote Work newsletter 👋
The past two weeks I've been digging into the JobsCopilot.ai database. In case you missed, I analysed 55.000 remote jobs and then reviewed 8.000 location independent jobs.
I'm scraping all new jobs from 400k+ companies every week, and I'm working hard to improve the data labelling and clustering algorithms. This will make the jobs more searchable in the Jobs Copilot UI.
But since I've been looking into data most of the day, I had to address a key question I'm frequently asked:
• Are salaries higher On-site or Remote?
Well, let's find out!
I sampled 63944 Software Engineering jobs, including both On-site and Remote. This is what the KDE plot looks like for the salary distribution of both clusters:
Very interestingly, the reply to the question is actually "both". Salaries on-site are both higher and lower than remote salaries. Let me explain:
• The left shoulder, with higher concentration of salaries in the $10.000 to $60.000/year range, means mostly On-site jobs in LCOL countries, where salaries are very low.
• The right shoulder, which higher concentration of $250.000/year salaries is essentially composed of On-site jobs at HCOL US cities.
Let me show you a few examples I've just pulled from the Jobs Copilot database.
Examples of very high paying On-site jobs:
• Engineering Manager @ Google ($189k - $284k)
• AI Researcher @ Bloomberg ($165k - $260k), in New York
Also, the remote jobs at the top of the pay scale are mostly US-only remote jobs, such as:
• Director of Data Engineering @ LiveRamp ($183k - $270k)
• Principal Software Engineer @ OutRider ($250k - $450k)
• Engineering Manager @ CapitalOne ($198k - $227k)
Some of those very high paying remote jobs are available outside the US, but most apply location-indexed salary, which means lower salary to people living in lower cost of living countries.
Despite those constraints, there are thousands of fully remote jobs that you can apply from anywhere (last week I reviewed 8000+ of those). The salaries of these jobs concentrate on that range between $60.000 and $160.000/year, causing the more steep hump in the chart above. Here are some examples of fully remote jobs:
• Software Engineer @ Supermove ($120k - $170k)
• Engineering Lead @ Auxo ($160k - $180k)
• Staff Backend Engineer @ Runway ML ($190k - $235k)
• Platform Engineer @ Trumid ($150k - $190k)
Of course these jobs are highly competitive, these salary ranges are life-changing for many people around the world. Each of these roles will easily get hundreds of applicants in a few days, and you have to be a top performer to get them.
The good thing about fully remote jobs is that there's a wider range of salaries than in on-site or hybrid jobs. So if you're looking for fully remote jobs with fewer applicants and lower competition, you can find them in the lower salary ranges, which can still be attractive for many people around the world. Some examples:
• Fullstack Engineer @ Ergeon ($67k - $83k)
• DevOps Engineer @ Savance ($80k)
• Support Engineer @ Orderly Network ($50k - $90k)
• Fullstack Engineer @ Nebulab (€40k - €80k)
• Lead Frontend Engineer @ Revolution Technology (£70k - £90k)
• Happiness Engineer @ Automattic ($40k - $75k)
This is just a small sample of the thousands of jobs that you can find at JobsCopilot.AI. In fact, there's more than just finding great jobs. The Jobs Copilot can also apply to your preferred jobs on your behalf. All automatic, with just an approval click from you.
This is how it works:
1/ Your auto-application profile
Once you switch to the Premium plan, you'll be prompted to fill in a profile section with your replies to common demographic questions found in job application forms:
2/ Your auto-apply flow
Besides that initial setup, you'll now find this new button in the jobs card. Just click the "Auto Apply" button on the jobs that are relevant to you, and that will trigger the auto-apply backend flow (no application is sent before your final revision):
3/ Application form is fetched and pre-filled for you
All jobs you've ticked "Auto Apply" are moved to the "Jobs to Apply" tab. And for each of them our backend pulls the application form, and our AI generates replies to each of the form questions based on the job description and your profile. Within a couple minutes you can find the pre-filled job application form in each job card:
4/ One-click confirmation
For now, I'm requiring you to review and click this submit button for every job, as I want you to feel in control of your applications, and I want to capture feedback on quality of this flow. I might make it more automated upon some configs in the future.
Once you submit a job for Auto Apply, the copilot will submit your application in the following minutes/hours (depending on work load). You'll get these messages on your email on a frequent basis, like I'm receiving for the past couple weeks during testing:
I'm very happy for this launch. Developing JobsCopilot under such aggressive bandwidth constraints has been hard work, but I'm thankful for your feedback, and for all positive messages and engagement. You truly are an amazing bunch :)
If you have any issues or questions about JobsCopilot, just drop me a message on jobscopilot@sergiopereira.io, for faster response. I count on your feedback to make this product the best in the market and help us all find great jobs!
Thanks for reading this newsletter until the end. You can read all past editions here. Make sure to share it with your friends and colleagues so they can read it too.
See you next Friday,
Sergio Pereira,
Startup CTO & Remote Work Lover
