10 STEPS: HOW TO QA AI (Freelancer edition)

You're already using AI in your workflow. The question isn't whether. It's whether you're catching what it misses before your client does.

A QA checklist built for AI-assisted translation work

This is the checklist I built for myself, six years into Danish-English localization and proofreading, after watching AI output slip past reviewers who trusted it a little too much.

Not because the tools are bad. Because they're confident even when they're wrong, and confidence is exactly what makes errors easy to miss.

Ten steps, in order, covering the specific places AI-generated and AI-translated text tends to go wrong: tone drift, false fluency, idiom that translates but doesn't mean anything, cultural context a model has no way to know it's missing.

Nothing theoretical. Just the checks I actually run before anything goes out under my name.

If you're a freelance translator, localizer, or copywriter working with AI tools and want a steady process for AI translation quality checks instead of a gut check, this is built for your desk, not a keynote stage.

What's inside

• A 10-step QA sequence you can run on any AI-assisted project
• What to check at each step, and why it matters
• Where native-speaker judgment catches what the model can't see

This copy is yours. By downloading it, you're supporting a small, woman-owned language business, and helping make the case that linguists still have a place in an AI-driven world. Thank you for supporting One Cozy Translator. 🩷