Mental-Health Crisis Prevention Expert
Job Description
Role Title: Mental-Health Crisis Prevention Expert
Role Type: Contractor
Location: Remote
micro1 is engaging Mental-Health Crisis Prevention Experts to contribute to a customer-focused project centering on mental-health safety and crisis prevention frameworks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This engagement is ideal for contributors passionate about advancing safe digital mental-health practices and creating resources that support individuals at risk.
Scope of Work
Develop and refine structured taxonomies related to self-harm, eating disorders, emotional dependency, and suicide prevention.
Design comprehensive frameworks for detecting potentially harmful advice or crisis signals within digital environments.
Create and validate rubrics for clinical response standards that prioritize mental-health safety and crisis intervention protocols.
Establish benchmark guidelines to evaluate risk, support vulnerable individuals, and minimize harm across digital platforms.
Contribute expert insight to the development of mental-health safety evaluation tools, focusing on adolescent and adult populations.
Review, annotate, and classify real-world scenarios for AI training, ensuring high accuracy and ethical alignment.
Collaborate with a multidisciplinary expert community to ensure all deliverables meet the highest standards of clinical credibility and care.
Preferred Qualifications
Licensed clinician (therapist, psychiatrist, or psychologist) with significant crisis-care and clinical safety experience.
5+ years of direct practice within mental-health crisis response, adolescent mental-health, or related care settings; 8–20 years preferred for advanced assignments.
Demonstrable expertise in self-harm prevention, suicide prevention, eating disorders, or emergency mental-health support.
Strong written and verbal communication skills; experience creating clinical documentation, guidelines, or evaluation frameworks.
Advanced degree, professional certification, or equivalent proven operational experience in psychology, psychiatry, or similar domains.
Experience with clinical risk assessment, digital mental-health platforms, or relevant research is a plus.
Commitment to upholding ethical standards, privacy protections, and evidence-based practice in all project contributions.
About Micro1
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.