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Mercor for Software Engineers in 2026: AI Training Side Income

Working engineers get paid to evaluate code-generating models — what tasks pay best, how the work fits around a day job, and how to land the higher rates.

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Frequently asked

What does the work look like for engineers?
Reviewing AI-generated code, writing better reference solutions, scoring outputs against correctness and idiomatic-quality rubrics, and producing exemplars for hard problems. It’s adjacent to code review but more structured and graded against a spec.
How much does it pay?
Rates for credentialed engineers in scarce languages or stacks often clear consulting territory. The more niche your stack — distributed systems, GPU programming, security — the higher the rate tends to climb. Generic web work pays less; rare expertise pays a lot.
Can I do this on top of a day job?
Yes — the work is asynchronous and per-task, so you batch it into evenings or weekends. Set a weekly cap up front and treat it like billable client work, not a hobby. The discipline that makes it pay is the same that makes a side hustle sustainable.
Will this conflict with my employer?
Read your contract for moonlighting and IP clauses. The work uses anonymised model outputs and doesn’t touch your employer’s codebase, but disclose if your contract or jurisdiction requires it. Better to ask once than explain later.

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AI training income

Get paid by AI labs to train LLMs in your field.

Mercor matches doctors, lawyers, engineers, writers and multilingual experts with AI labs that need real domain knowledge to train better models. Rates run $25 to $60 per hour, sometimes higher. Work async, from any base, on your own schedule.

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