Fintech Product Engineer Expert
Ethos • Remote • Posted 26 days ago
Education
Any
Type
Pay Rate
$105/task
Posted
26d ago
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About this Role
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
Compensation Analysis
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.
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Frequently Asked Questions
Is this normal AI training work?
No. Ethos is an expert network — not a task queue. You won't be rating chatbot responses. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge: deal analysis, clinical reasoning, legal logic, financial modeling. Work takes three forms: paid consulting engagements (multi-week), 30–60 minute advisory calls, and targeted research surveys.
Do I need to constantly apply for projects?
No. Once your profile is live, Ethos's AI automatically matches you to inbound opportunities based on your career history. Companies find you — you don't hunt for listings. Your Expert Score rises with each completed engagement, which unlocks higher-value inbound over time. Ethos already works with 25+ private equity firms, hedge funds, and consultancies, so deal flow is real.
When and how do I get paid?
Payment is processed within 30 days of submitting your invoice after a project closes. This net-30 schedule is standard for enterprise expert networks but slower than weekly-paying AI platforms. Plan your cash flow accordingly — this is not a 'get paid Friday' setup.
Is this traditional consulting?
Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.
Why is the pay so high?
This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.
What is the workload like?
This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.
Who built Ethos and is it legitimate?
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 is actively working with 25+ PE firms, hedge funds, and consultancies. It is legitimate and well-funded. The referral link on this page is an affiliate link — this does not affect your pay or opportunities.