Mercor · Software & coding
Software Engineer – Retail Investing Platforms (Paid Expert Interview) - review AI outputs in your specialty
Listed on Mercor as “Software Engineer - Retail Investing Platforms (Paid Expert Interview)”
What this actually is
You review AI-generated code, rank model outputs against each other, write prompts that test edge cases, and provide expert feedback that gets used to train coding models. Not shipping production software. The platform title (Software Engineer - Retail Investing Platforms (Paid Expert Interview)) reflects the rate band and the expertise required, not the day-to-day work.
Can you do this on your visa?
F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.
Korean tax on USD income
First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.
Original posting from Mercor
Mercor is seeking experienced software engineers at companies that serve retail investors for a short, paid expert interview on behalf of a leading AI company building financial intelligence products. In a single 45-60 minute conversation, you will share how engineering teams like yours evaluate, choose, and integrate third-party APIs and AI vendors. This is a good fit for backend, integrations, or platform engineers (or hands-on tech leads and engineering managers) at online brokerages, investing apps, robo-advisors, neobanks with investing, wealth platforms, or brokerage infrastructure providers.
What You'll Do
- Join one 45-60 minute remote interview at a time that works for you.
- Walk through how your team evaluated or shortlisted an outside API or AI vendor (e.g. market data, news/research, identity, or AI chat), and what drove the final decision.
- Share what made integrations go well or badly: documentation, reliability, pricing, security and compliance review, and support.
- Give candid feedback on what you would want from vendors serving retail-investing products.
Please share only your own experience and opinions. You will not be asked for confidential or proprietary information about your employer.
Requirements
- Currently employed in-house (not freelancing or consulting) as a software engineer, backend or integrations engineer, platform engineer, tech lead, or engineering manager who is still hands-on.
- Work at a company that reaches retail investors, such as an online brokerage, investing app, robo-advisor, neobank with investing, wealth platform, or brokerage infrastructure provider.
- Work on the retail product side, not institutional, hedge fund, or asset management desks.
- Evaluated or integrated a third-party API or AI vendor in the past 12 months (or will soon).
- Involved in choosing the vendor (helped evaluate or shortlist), not only building it after the decision was made.
- Based in the United States.
Nice to Have
- Integrated market data, news, research, or AI chat features.
- Experience across different company sizes or seniority levels.
Why Join?
- Paid for your time, with a flexible, one-time commitment that fits alongside your current role.
- Share your perspective to help shape AI and data products built for retail investors.
Quoted from Mercor’s public listing on 2026-10-24.We don’t edit platform copy; honest framing is in the title and the “what this actually is” block above.
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About Mercor
AI-interview-based talent network. One application, voice interview with their AI, then matched to projects across coding, research, and specialist work. Pay scales with track and seniority.
Mercor review: AI-interview talent network
4.1/5 on Glassdoor, fastest-growing platform in the category (+509% YoY). What the AI video interview actually asks, real pay across coding/research/medical/legal/finance tracks ($25-$200/hr), and the project-availability problem.
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