Emotional Distress Clinical Specialist | Safety Project

Emotional Distress Clinical Specialist | Safety Project is a remote freelance opportunity with Vetto. The role focuses on About Vetto Vetto is a global platform that connects top-tier professionals to strategic Artificial Intelligence projects around the world. Our mission is to build trust, quality, and long-term value within the AI ecosystem, for both exceptional talent and companies operating at the forefront of technology. About the project We are opening a freelance opportunity for the Safety Project — Emotional Distress (Clinical track), a project focused on evaluating how AI systems respond in sensitive conversations involving emotional distress, suicidal ideation, and depression. The goal of this project is to assess whether the AI can respond with empathy, responsibility, and appropriate safety awareness in high-risk emotional scenarios. In this track, selected contributors will perform two complementary activities: Role-play — participate in structured multi-turn conversations with an AI system, acting according to a predefined persona and scenario representative of real clinical presentations. Evaluation — review AI responses against clinical criteria, assessing risk recognition, appropriateness of safety messaging, empathy, accuracy of psychoeducation, and adherence to evidence-based crisis-response practices. This dual contribution is what makes the clinical track distinct: we need professionals who can both embody a sensitive scenario and judge the AI's response with clinical rigor. What you'll do Conduct role-play sessions as a clinically informed persona across multi-turn conversations Evaluate AI responses for safety, empathy, clinical appropriateness, and risk handling Provide structured written feedback grounded in clinical reasoning Flag responses that miss risk signals, give unsafe guidance, or fall short of best-practice crisis communication Skills: Who can apply Licensed or formally trained professionals in psychiatry, clinical psychology, counseling psychology, psychiatric nursing, or related mental health fields — including those working in crisis centers, helplines, or other mental health support environments. Experience in suicide prevention, crisis intervention, or risk assessment is highly valued. Profiles we're looking for Psychiatry or psychiatric nursing Clinical or counseling psychology Crisis intervention or suicide prevention specialists Social work focused on mental health Helpline or support center professionals (clinical role) Emotional health coaching or therapy with formal training Researchers or educators in mental health and risk assessment Fluent or Advanced proficiency in english Compensation Payment is made per approved task: US$40 per approved task. Each task takes approximately 1 hour to complete. Only approved tasks are eligible for payment. Refer People → Earn Money Earn $20 USD for each approved referral. Visit work.vetto.ai/opportunities and click "Refer & Earn". ‼️ AI is not allowed. If we spot AI use, we'll block the application. ⚠️ This application must be completed entirely in English. ⚠️ Important warning: This project involves highly sensitive topics, including emotional distress, suicidal ideation, and depression. These tasks may be emotionally triggering for some people. The work suits professionals who can apply practical expertise, produce reliable outputs, and communicate decisions clearly in AI-related or digitally enabled workflows. Candidates should be comfortable working independently, following written project instructions, and delivering consistent quality in a distributed environment.

Applicants should bring demonstrated experience in Data Engineering, Data Analysis, Mobile Development, App Performance, Clinical Knowledge, Medical Review. Required working language: English. The role requires clear communication, analytical thinking, and dependable independent work. Helpful additional experience includes Model evaluation. Candidates should be able to document their reasoning, review work carefully, and contribute accurate outputs under remote project conditions.