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Fintech Product Engineer Expert
Ethos • Remote
Education
Any
Type
Pay Rate
$105/task
Listed
119d ago
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About this Role
From the Ethos listing
About the job
We're working with a leading foundational AI lab to find experienced software engineers with a fintech product background who can help train their latest language model on fintech engineering tasks.
We're looking for senior and staff engineers with 5+ years of experience building consumer or business-facing financial products at fintech companies or the technology arms of financial institutions. You know how to build payments infrastructure, lending systems, or financial data products that are reliable, compliant, and fast enough for real-world use. You understand that in fintech, engineering decisions and regulatory constraints are inseparable.
You'll create, evaluate, and refine AI-generated work across core fintech engineering workflows: payments system design, financial data modelling, API architecture for financial products, compliance-driven system design, and technical documentation for regulated financial software.
Compensation: $105/hour
Commitment: Flexible, up to 20 hours per week (up to $2,100/week)
Location: Fully remote, work on your own schedule
Start date: April
Qualifications:
Senior or Staff Software Engineer with 5+ years of experience building financial products at a top fintech or financial institution
Strong expertise in payments, lending, banking, or financial data infrastructure
Excellent written communication and ability to evaluate technical output for correctness and regulatory awareness
About Ethos
Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Why This Role
Rare opportunity for top 1% experts. Earn $105/hr contributing to the world's most advanced AI labs. This is one of the few roles where academic precision is valued as highly as commercial output.
Skills & Categories
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Frequently Asked Questions
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network, not a task queue. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) through three formats: multi-week consulting engagements, 30-60 minute advisory calls, and targeted research surveys.
Do I need to keep applying for projects on Ethos?
No. Once your profile is live, Ethos's algorithm matches you to inbound opportunities based on your career history, so companies find you instead of you hunting for listings. Your Expert Score rises with each completed engagement and unlocks higher-value work over time. Ethos already works with 25+ private equity firms, hedge funds, and consultancies, so the deal flow behind this is real.
How and when does Ethos pay experts?
Within 30 days of invoice submission after a project closes. That net-30 schedule is standard for enterprise expert networks, but it's slower than the weekly payouts some AI training platforms offer, so plan your cash flow around it.
Is AI training work the same as traditional consulting?
No. Instead of client deliverables, you're given complex scenarios to evaluate: grading the AI's logic, correcting its hallucinations, and supplying expert-level reasoning it doesn't have on its own. The job is closer to teaching than consulting.
Why do these AI training roles pay so much?
Because general knowledge isn't what's being tested. The model already knows the basics; what it needs is expertise on edge cases, the rare, difficult, highly technical judgment calls only a senior professional in the field would make correctly.
What does the day-to-day workload look like for elite-expert AI training roles?
Slow and deep, not fast and repetitive. A single task can take 45-60 minutes of researching citations or verifying complex calculations. Quality is what's being measured here, not throughput.
What does STEM work look like for a Fintech Product Engineer Expert?
Tasks here are scoped to STEM, not generic labeling. As a Fintech Product Engineer Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What happens when I click Apply on this listing?
You'll be taken to Ethos's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who built Ethos and is it legitimate?
Yes, it's legitimate and well-funded: Ethos raised $3.5M from General Catalyst and was co-founded by Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev) and James Lo (McKinsey, SoftBank Vision Fund). Over 17,000 experts have signed up, and it's actively working with 25+ PE firms, hedge funds, and consultancies. The referral link on this page is an affiliate link; it doesn't affect your pay or opportunities.