Hiring nowConversation, prompt and context design

AI Content Designer

Also called GenAI Content Designer

An AI Content Designer writes the words inside an AI product: prompts users see, explanations, warnings and error messages. Good content helps people use the product well and recover when the model gets something wrong.

What they do

They write and test the language people meet when they use an AI feature. That covers onboarding text, suggested prompts, labels, confidence cues, refusal messages and guidance for when the model is wrong or limited. They work with designers, engineers and evaluation staff. They prototype dialogue, version the prompts and copy that shape behaviour, and run evaluation suites to check the wording holds up. They read real conversations, find where users misunderstand or get stuck, and rewrite. They also adapt content for other languages and audiences, and keep a shared voice and set of patterns across the product.

What a strong hire delivers

In the first months, a strong hire gives the team tested content for the main user journeys, including clear messages for errors and limits. They set up a versioned library of product language that others can reuse. They bring evidence from user testing that people understand what the AI can and cannot do, and that they know what to do next when it fails. Content stops being last-minute copy.

How you can tell they are good

Ask them to show before-and-after content from an AI or conversational product and explain what changed and why. Look for evidence: user testing, comprehension checks, evaluation results. Ask how they would word a limitation honestly without scaring users off. Be wary of polished writing samples with no testing, or people who treat the model's output as fixed.

Why it is hard to fill

Few people have done this exact job, so titles vary and CVs mislead. Most good candidates are content designers, UX writers or conversation designers who moved towards AI work, and the strongest add evaluation skills. Many writers lack the technical comfort to work with prompts and test suites. Many technical people lack writing craft. Hiring managers often search for one title and miss the best people under another.

Where to find them

Look in content design and UX writing teams at product companies, especially those shipping assistants or chat features. Conversation designers from customer service automation and voice products are a strong source. Linguists, localisation specialists and service designers also move across well. Check applied language roles in regulated sectors such as health, finance and public services, where careful wording about uncertainty is already part of the job.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for an AI Content Designer

  1. Tell me about AI or conversational content you wrote that you later changed. What prompted the change?

    A strong answer names evidence such as user confusion, transcripts or test results, and shows what they rewrote and the effect. Worry if changes were driven only by taste or stakeholder opinion, or if they cannot describe any result.

  2. How would you tell users that a feature can give wrong answers, without making them distrust the whole product?

    Look for specific, placed guidance: plain wording, timing, examples, and a clear next step. They should mention testing it. Worry about generic disclaimers, vague hedging or legal-style text nobody reads.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We are building AI features people rely on, and the words inside them matter. We are looking for an AI Content Designer to write and test product language that helps users understand what the AI does, use it well and recover when it falls short.

What you will do

  • Write and refine in-product content for AI features, including prompts, labels and guidance
  • Create clear messages for errors, refusals and model limitations
  • Test content with target users and act on comprehension and recovery results
  • Prototype dialogue and maintain versioned prompts and copy
  • Work with evaluation and engineering colleagues to check that wording and model behaviour fit together
  • Build shared content patterns and voice guidance for the product
  • Adapt content for different languages and audiences

What you will bring

  • Portfolio of shipped content for conversational or AI products, with the reasoning behind it
  • Evidence of testing content with users and improving it as a result
  • Skill at communicating uncertainty and limits in plain language
  • Comfort working with prompts and context design
  • Experience using evaluation methods or test sets to judge content quality
  • Clear collaboration with designers, engineers and researchers

Nice to have

  • Background in linguistics or localisation
  • Experience in conversation or service design
  • Work in a sector where cautious wording matters

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • Service and conversation designAdvancedStructure dialogue, escalation and service experiences
  • Prompt and context designAdvancedStructure instructions, examples and context for a task
  • Model evaluationWorkingMeasure capability and failure modes credibly
  • Linguistics and localisationWorkingAdapt language behaviour across cultural and linguistic contexts

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

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