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Ethos is seeking a Process Engineer for a fully remote, flexible engagement. The role invites hands-on engineers to own production capacity planning, BOM packages, and quality control processes within regulated environments.
Expect collaboration across teams, practical problem solving, and strong documentation skills. The position offers an hourly rate of $90, with the freedom to set your own schedule between 5 and 20 hours per week, starting ASAP.
$90/hr
The rate in the listing.
From the Ethos listing, checked Nov 4.
Listed
Today
How Ethos hiring works
Your application is a 10-minute call.
Ethos's AI interviewer asks about your career, then matches you to projects like Process Engineer. Keep your CV open and cover these:
$90/hour
Commitment:
Flexible, 5-20 hours per week (or more if desired)
Location:
Fully remote, work on your own schedule
Start date:
ASAP
Hands-on experience in engineering, manufacturing, or technical operations, with direct ownership of production capacity planning, bill of materials packages, or quality control processes
Working knowledge of root cause failure analysis, equipment maintenance planning, and the supplier qualification standards used in regulated manufacturing environments
Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
How long hiring takes
Across the platforms we list, people typically hear back about a hire within
25 days
of applying.
Within 2 weeks
~30%
Within 6 weeks
~65%
Within 3 months
~85%
Prepare for the Ethos call
Ethos's AI interviewer asks about your Process Development Engineer background. These are our own practice questions for that work, not Ethos's.
How do you approach optimizing a manufacturing process that's already meeting its output targets but you suspect has room for improvement?
I look at yield, cycle time variability, and scrap rate rather than just total output, since a process can hit its target while still carrying meaningful waste that isn't visible in the headline number. I use that data to identify the specific step contributing most to the gap rather than optimizing the process broadly without a clear target.
What's your process for validating that a proposed process change will actually deliver the improvement you're projecting before rolling it out fully?
I run the change on a limited scale or pilot batch first and compare actual results against the projection, rather than rolling out a full-scale change based on modeling alone. Small discrepancies between projected and actual results at pilot scale often reveal an assumption that needs adjusting before wider rollout.
How do you use lean manufacturing principles to identify waste in a process that looks efficient on the surface?
I map the process end to end and look specifically for the classic waste categories, like unnecessary motion, waiting, or overproduction, since those often hide within a process that appears smooth when viewed only at the step level. Waste frequently accumulates in the handoffs between steps rather than in any single step.
What's your approach to deciding whether a process deviation observed in the data is a meaningful signal or normal variation?
I compare the deviation against the process's established control limits rather than reacting to any single data point that looks off, since normal processes have inherent variation that isn't a sign of a problem. A deviation that falls outside those limits or shows a sustained trend is what actually warrants investigation.
See all 10 Process Development Engineer interview questions
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Skills and categories
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Engineering & Robotics
Coding
Expert
Common questions
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network. AI labs, investment funds and large companies pay for your domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) in three formats: multi-week consulting engagements, 30 to 60 minute advisory calls, and research surveys. Listings like this one are the AI-lab engagements, where you write or review expert material for a model.
Do I need to keep applying for projects on Ethos?
No. When your profile is live, Ethos matches you to new projects from your career history, so companies find you. Each finished project raises your Expert Score, which brings you better-paid work.
How many hours a week is this Process Engineer work?
Between 5 and 20 hours a week. At $90/hr that is $450 to $1,800 a week. You set your own hours.
What experience does this Process Engineer listing ask for?
The listing asks for hands‑on experience in engineering, manufacturing, or technical operations, with direct ownership of production capacity planning, bill of materials packages, or quality control processes; working knowledge of root cause failure analysis, equipment maintenance planning, and the supplier qualification standards used in regulated manufacturing environments; and expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail. Ethos's interviewer builds your profile from your CV, so have the roles that show this ready to talk through.
What specific skills does this listing call for?
Coding is named directly in the listing. If you don't have hands‑on experience with this, expect the screening to test for it.
How much does this specific role pay?
This listing is posted at $90/hr, an hourly rate. Pay can change after we check the listing, so confirm the rate on the platform's application page.
What happens when I click Apply on this listing?
The link opens Ethos's sign-up. There is no form for this listing: Ethos's AI interviewer asks about your career in a 5 to 15 minute call, builds your profile from it, and then matches you to projects like this one. Keep your CV open and cover the experience the Qualifications above ask for.
Who built Ethos and is it legitimate?
Yes. Ethos was founded in London in 2024 by James Lo (McKinsey, SoftBank Vision Fund) and Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev). It raised a $22.75M Series A led by a16z in May 2026, with General Catalyst and XTX Markets participating, and works with AI labs, private equity firms, hedge funds and consultancies. The link on this page is an affiliate link; it doesn't affect your pay or the projects you're offered.