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STEM ethos

Fintech Product Engineer Expert

Ethos • Remote

Education

Not stated

Type

Contract

Pay Rate

$105/task

Listed

184d ago

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About this role

From the Ethos listing

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.

Why this role

$105/task for Fintech Product Engineer Expert work puts your STEM expertise on the same footing as an AI lab's own research staff, without the overhead of running a consulting practice around it.

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Common questions

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 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.

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 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 specific skills does this listing call for?

Coding and Expert are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

This listing is posted at $105/task, a per-task rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.

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.