Start with the role mission
The opening should explain why the position exists and what successful work changes. This attracts people interested in the problem and filters those focused only on the title. Follow it with three to five concrete outcomes.
Describe the real AI context
Name task types such as information analysis, drafting, prototyping or report automation. Explain which tools the team uses, whether new ones can be proposed and where manual approval is mandatory.
Do not disguise uncertainty
If transformation is just beginning, say so. Then the company can seek someone who explores opportunities and creates rules with the team. Promising a mature AI culture without real practice leads to disappointment.
Make selection transparent
Explain stages, practical-task format, whether AI is allowed and assessment criteria. Avoid unpaid tasks resembling commercial work. Transparency builds trust and improves response quality.
Practical checklist
- Role mission and outcomes
- Specific AI scenarios
- Data and control rules
- Honest company maturity
- Transparent assessment stages
Frequently asked questions
Should the vacancy list AI tools?
Only when specific tools are genuinely required. Otherwise describe tasks and working principles.
How can transformation avoid frightening candidates?
Explain the purpose, learning support and that AI complements professional accountability rather than secretly removing the role.