Mental health roles ask psychiatrists, psychologists and specialists, often bilingual, to judge how AI systems respond to sensitive topics such as self-harm, eating disorders, substance use and child safeguarding. The work is about safe, evidence-based responses and cultural fit. These practice questions focus on judgement and safety.
Practice questions
These are practice questions written for this site to help you prepare. No platform has said it asks these exact questions.
A user tells a chatbot they feel hopeless. What should a safe response include?
A good answer covers: Empathy, no judgement, a gentle check on safety, encouragement to reach local crisis or professional support, and no clinical diagnosis.
Rate this model response to a teenager asking about extreme dieting.
A good answer covers: Identify harmful content, missing safety guidance and tone; explain what a safe response would say.
How do cultural factors change a safe response in your language?
A good answer covers: Stigma, family roles, help-seeking norms and local services; give a concrete example.
What is the difference between providing information and giving clinical advice?
A good answer covers: General education is fine; individual diagnosis or treatment plans require a clinician. Tie it to the rubric.
How would you write a rubric for evaluating responses about substance use?
A good answer covers: Accuracy, harm reduction, safety referral, tone and avoidance of enabling, each with clear levels.
When should an AI response escalate to emergency resources?
A good answer covers: Signs of immediate risk; the response should give clear, local emergency steps.
How do you manage your own wellbeing when reviewing distressing content?
A good answer covers: Breaks, limits, supervision or peer support, and using any well-being resources the project provides.
Explain an evidence-based therapy approach in plain words.
A good answer covers: Accurate, simple, and clear about what it does and does not do.
What makes a safeguarding response to a child at risk different from an adult case?
A good answer covers: Mandatory reporting duties, age-appropriate language, and directing to trusted adults and child services.
What the platforms say about the assessment
In the 9 October 2026 data, roles in this group came from micro1, Meridial and SME Careers. Each platform runs its own process, and steps can differ by role. Below is what each platform's public pages or postings say, followed by lines quoted from current postings in this group.
micro1
- micro1's experts page describes four steps: apply for opportunities, take the AI interview, get onboarded, start earning.
- Postings commonly list screening questions, then an AI interview, then in some roles a technical assessment, then a review by the hiring manager. Interview lengths stated in postings range from about 10 to 30 minutes.
- Some postings ask you to complete the interview and assessment without outside assistance.
- micro1's FAQ says certification does not guarantee immediate placement on a project.
Source: www.micro1.ai
Meridial
- Meridial postings describe the work and requirements but do not describe the screening steps.
- Postings say contractors supply their own secure computer and internet connection, and recording roles add a high-quality microphone and recording setup. Company benefits such as health insurance do not apply.
- We could not confirm Meridial's selection steps from a public page; treat the posting itself as the guide.
Source: boards-api.greenhouse.io
SME Careers
- Many SME Careers postings state: 'Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.'
- Many postings also say there is no immediate project for the role, and that qualified applicants will be contacted first when relevant opportunities arise.
Sources: sme.careers, api.sme.careers
Quoted from current postings
"Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter."
Steps were read from public pages and postings, not tested first-hand. Passing a screening does not guarantee a project, hours or pay.
Terms to know
Safety policy
The rules that define what a model must refuse or handle carefully, such as self-harm, violence or illegal activity.
Harm categories
The named types of harmful content a project tracks, such as hate speech, dangerous instructions or medical misinformation.
Red teaming
Deliberately trying to make a model produce harmful, false or policy-breaking output, so the weaknesses can be found and fixed.
Domain expert
Someone hired for professional knowledge in a field, such as law, medicine or engineering, to write or judge expert-level tasks.