Student contributor, software work for AI labs
Mercor · Dec 2025 · Software engineering
A recruiter offered a student paid remote work with teams that help AI labs train models. The 20-minute AI interview skipped small talk and went straight to backend depth and a system design case.
- Community report, paraphrased
- 1 round
- 20 min
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How it ran
- A recruiter got in touch about a remote student role supporting AI lab projects.
- One 20-minute AI interview, purely technical, with a visible clock.
- Waiting for a decision.
What was asked
- Backend architecture and how it was used in real projects.
- How parts of a system talk to each other, such as choosing REST or GraphQL.
- What was actually built during internships.
- Designing a financial chatbot: latency, caching, WebSockets versus polling, several data APIs.
- Security: encryption, tokens, rate limits, compliance logging, SQL injection.
What the interviewer or test was like
- No warm-up: technical questions from the first minute.
- Cared more about why a choice was made than about definitions.
- Intense but fair. Admitting a gap and reasoning it through seemed to land well.
Tips
- Use real project examples rather than textbook answers.
- If you have not done something, say so and explain how you would approach it.
- Have concrete numbers ready, such as the traffic a system handled.
Outcome
Still waiting to hear back when the post was written.