Machine translation is good enough to start and not good enough to ship. You work in a language pair you actually speak and sell the reviewed version.
~9.9K people search this every month ↑ trending up · US, measured
The translation enginethe draft: fast, instruction-following, context-aware
The quality passwork like a pro without buying pro software
Where clients come fromthe one marketplace that passed our vetting
The job changed rather than died. US labor data still counts about 75,000 translator and interpreter jobs with slow growth projected through 2034, and roughly a quarter of translators are self-employed. The paying work has shifted to AI drafts plus human review, which is exactly the service this stack sells.
No license exists for translation in the US. Even for certified translations, the industry body ATA is explicit that anyone can certify a translation. Certification programs are optional credibility, not permission.
USCIS requires a full English translation plus the translator's signed statement that they are competent and the translation is complete and accurate. No notary is required. The big agencies bill this per page at around $25, which makes it a beginner-friendly niche.
The free machine-translation tiers are the problem: DeepL's free version processes what you paste to train its models, and Google's terms take a broad license over uploads. Keep client work in tools whose terms stay service-scoped, like MateCat with a private memory key.
Published agency retail starts around 10 cents a word, US freelancers typically quote 15 to 30 cents for general content, and legal or medical specialists bill $75 an hour and up. Certified documents run about $25 a page at the big agencies.
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Income and demand tiers reflect what we found in public reports and search data, verified to the level shown. Nothing here is a guarantee of earnings.