Insight Timer

• Review AI-generated outputs related to meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. • Score and label AI outputs using structured rubrics and evaluation frameworks. • Assess whether outputs are clear, safe, evidence-informed, clinically appropriate, and useful for real-world users. • Check claims against available evidence, including academic literature, clinical guidance, and internal research standards. • Identify recommendations that are unsafe, overstated, unsupported, vague, misleading, or poorly explained. • Flag potential issues related to indications, contraindications, evidence quality, risk, and real-world applicability. • Compare AI outputs across different prompts, workflows, models, or evaluation conditions. • Help prepare short research summaries, evidence notes, and internal review documents. • Support prompt testing and AI evaluation workflows, including documenting what works, what fails, and why. • Use tools such as ChatGPT, Claude, and other AI systems to support research, synthesis, review, and day-to-day work. • Communicate structured feedback to the Head of AI, Clinical AI Research Lead, product team, and engineers. • Help improve the quality, safety, and usefulness of AI-powered wellbeing experiences over time. • Support internal research and publication-related work where relevant, under supervision.

Role Description We’re looking for a Clinical AI Research Assistant to help review, evaluate, and improve the next generation of intelligent wellbeing experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. This is a junior research and evaluation role at the intersection of mental health, meditation, wellbeing science, clinical reasoning, and AI. You’ll work closely with our Head of AI and, where relevant, a Clinical AI Research Lead to review AI-generated outputs related to: - Meditation - Sleep - Anxiety - Stress - Emotional wellbeing - Behavior change The main focus of this role is AI output review. You’ll help assess whether AI-generated content is: - Clear - Safe - Evidence-informed - Clinically appropriate - Useful for real-world users This will involve: - Scoring outputs using rubrics - Checking claims against evidence - Identifying unsafe or overstated recommendations - Helping improve prompts and evaluation workflows This is not a clinical service delivery role, and you will not be providing therapy or making unsupervised clinical decisions. It is a research, review, and evaluation role focused on improving AI-powered wellbeing products under supervision. We are open to part-time or full-time candidates, depending on experience, availability, and fit. This could be a strong fit for someone with training or early experience in: - Psychology - Clinical psychology - Psychiatry - Public health - Behavioral science - Mental health research - Digital health - Meditation research - Mindfulness - A related field If you’re thoughtful, evidence-minded, comfortable using AI tools, and excited by the idea of helping improve wellbeing products used by millions of people, we’d love to meet you. Key Responsibilities - Review AI-generated outputs related to meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. - Score and label AI outputs using structured rubrics and evaluation frameworks. - Assess whether outputs are clear, safe, evidence-informed, clinically appropriate, and useful for real-world users. - Check claims against available evidence, including academic literature, clinical guidance, and internal research standards. - Identify recommendations that are unsafe, overstated, unsupported, vague, misleading, or poorly explained. - Flag potential issues related to indications, contraindications, evidence quality, risk, and real-world applicability. - Compare AI outputs across different prompts, workflows, models, or evaluation conditions. - Help prepare short research summaries, evidence notes, and internal review documents. - Support prompt testing and AI evaluation workflows, including documenting what works, what fails, and why. - Use tools such as ChatGPT, Claude, and other AI systems to support research, synthesis, review, and day-to-day work. - Communicate structured feedback to the Head of AI, Clinical AI Research Lead, product team, and engineers. - Help improve the quality, safety, and usefulness of AI-powered wellbeing experiences over time. - Support internal research and publication-related work where relevant, under supervision. Qualifications - You have formal training or early experience in a relevant field such as psychology, clinical psychology, psychiatry, public health, behavioral science, mental health research, digital health, meditation research, mindfulness, or wellbeing science. - You may be a graduate student, master’s student, PhD student, clinician-in-training, junior researcher, research assistant, or early-career health professional. - You understand how to think about evidence, including study quality, strength of findings, limitations, and real-world relevance. - You are comfortable checking claims against research and identifying when something is unsupported, exaggerated, unclear, or potentially unsafe. - You can think carefully about indications, contraindications, risk, and the limits of general wellbeing or mental health recommendations. - You are detail-oriented and comfortable doing careful review work across many examples or outputs. - You can use structured rubrics and apply consistent judgment across repeated evaluation tasks. - You write clearly and can explain your reasoning in plain language. - You are comfortable using AI tools such as ChatGPT, Claude, or similar systems for research, synthesis, review, and day-to-day work. - You are interested in how AI can be used responsibly in meditation, wellbeing, mental health, and consumer health products. - You are comfortable working under supervision and escalating uncertain or higher-risk issues to senior reviewers. - You are organised, thoughtful, and able to bring structure to ambiguous questions. - You care about building products that help people live healthier, calmer, and more meaningful lives. Nice to Have - Experience reviewing or summarising academic papers, clinical guidance, or health-related evidence. - Experience working as a research assistant or in a structured research environment. - Familiarity with meditation, mindfulness, contemplative practice, psychotherapy, behavior change, sleep, anxiety, stress, or emotional regulation. - Experience using AI tools for research, synthesis, prompt testing, or evaluation. - Experience with prompt testing, AI output review, model comparison, or AI evaluation workflows. - Experience creating evidence summaries, literature reviews, annotated bibliographies, or research briefs. - Experience with digital health, mental health technology, consumer wellbeing products, or online interventions. - Comfort working with spreadsheets, annotation tools, scoring systems, or structured review processes. - Interest in supporting internal research and publication-related work over time. - Strong judgment, curiosity, and willingness to learn across clinical, research, product, and AI domains. Benefits - We offer competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days are available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - We host a global company retreat every other year.

• Review and evaluate AI-generated outputs related to meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. • Assess whether AI outputs are clinically appropriate, evidence-informed, safe, clear, and useful for real-world users. • Evaluate the strength and quality of evidence behind wellbeing, meditation, and psychotherapeutic techniques, including limitations and contraindications. • Help define frameworks for assessing indications, contraindications, risk, evidence quality, internal and external validity, and real-world applicability. • Work with engineers and product teams to improve prompts, AI workflows, evaluations, and user-facing wellbeing experiences. • Translate clinical, psychological, and research concepts into clear product guidance that engineers and designers can act on. • Help build internal evaluation systems for AI outputs, including rubrics, review processes, and quality standards. • Contribute to the development of safe, high-quality AI experiences that are grounded in meditation, wellbeing, and mental health expertise. • Support the creation of structured content and intervention pathways across areas such as sleep, anxiety, stress, mindfulness, and emotional wellbeing. • Help identify where AI outputs are unsupported, overstated, unsafe, unclear, or misaligned with best available evidence. • Collaborate with internal and external researchers on studies, evidence reviews, and potential peer-reviewed publications. • Help shape Insight Timer’s broader research agenda around meditation, wellbeing, mental health, AI, and consumer health products.

• Design, build, and ship production-grade AI agents for meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. • Build agentic workflows that combine technical reliability with clinical and evidence-informed reasoning. • Integrate AI agents with backend APIs, data systems, content systems, and product surfaces. • Build evaluation, testing, and monitoring systems for reliability, safety, quality, and continual improvement. • Design clinical and wellbeing evaluation rubrics for AI outputs, including clarity, usefulness, safety, evidence alignment, and risk. • Work with the Head of AI, clinical research team, product, and engineers to translate clinical and research requirements into product and system design. • Identify risks in AI-generated wellbeing outputs, including unsupported claims, unsafe recommendations, overstatement, inappropriate advice, and poor handling of vulnerable users. • Improve prompts, tools, agent workflows, and retrieval systems based on both engineering performance and clinical/product quality. • Architect flexible, modular workflows that make it easy to test, extend, and improve AI capabilities. • Help define when agentic systems should answer, ask for more context, escalate, refuse, or redirect. • Design data and feedback pipelines that improve agent performance through real-world usage, evaluation, and, where appropriate, fine-tuning. • Translate early AI prototypes into scalable, maintainable product systems used by millions of people. • Help shape Insight Timer’s internal standards for building safe, evidence-informed AI wellbeing products.

Role Description We’re looking for a Senior Clinical AI Engineer to help build the next generation of intelligent wellbeing experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. This is a rare hybrid role for someone who can both build production-grade AI systems and bring real clinical, psychological, medical, or mental health research judgment to the work. You’ll work directly with our Head of AI, backend engineers, product team, and clinical research collaborators to design and ship AI-powered experiences that are technically robust, clinically thoughtful, evidence-informed, and useful for real people. This is not a pure research, data science, or advisory role. You will be hands-on building agentic AI workflows, integrating with backend systems, designing evaluation and monitoring infrastructure, and helping turn prototypes into reliable product experiences. But unlike a standard AI engineering role, you will also help shape the clinical and wellbeing logic behind those systems: - How they reason - What they recommend - What they avoid - When they escalate - How we evaluate quality and safety We’re looking for someone who is comfortable moving between code, product, clinical reasoning, and research evidence. You might have a background in: - Software engineering plus psychology - Medicine - Psychiatry - Behavioral science - Neuroscience - Digital health - Mental health research - Meditation - Mindfulness - Wellbeing science If you’re motivated by the challenge of building safe, reliable, high-impact AI systems for meditation, mental health, and wellbeing at global scale, we’d love to meet you. Key Responsibilities - Design, build, and ship production-grade AI agents for meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. - Build agentic workflows that combine technical reliability with clinical and evidence-informed reasoning. - Integrate AI agents with backend APIs, data systems, content systems, and product surfaces. - Build evaluation, testing, and monitoring systems for reliability, safety, quality, and continual improvement. - Design clinical and wellbeing evaluation rubrics for AI outputs, including clarity, usefulness, safety, evidence alignment, and risk. - Work with the Head of AI, clinical research team, product, and engineers to translate clinical and research requirements into product and system design. - Identify risks in AI-generated wellbeing outputs, including unsupported claims, unsafe recommendations, overstatement, inappropriate advice, and poor handling of vulnerable users. - Improve prompts, tools, agent workflows, and retrieval systems based on both engineering performance and clinical/product quality. - Architect flexible, modular workflows that make it easy to test, extend, and improve AI capabilities. - Help define when agentic systems should answer, ask for more context, escalate, refuse, or redirect. - Design data and feedback pipelines that improve agent performance through real-world usage, evaluation, and, where appropriate, fine-tuning. - Translate early AI prototypes into scalable, maintainable product systems used by millions of people. - Help shape Insight Timer’s internal standards for building safe, evidence-informed AI wellbeing products. Qualifications - 5+ years of software engineering experience, including production experience with AI agents, LLM-based systems, or AI-powered workflows. - Strong Python fundamentals and experience building reliable backend systems, APIs, or distributed workflows. - Hands-on experience with agent frameworks, orchestration tools, evaluation pipelines, prompt engineering, retrieval systems, or LLM application architecture. - Formal training, research experience, or applied expertise in psychology, medicine, psychiatry, neuroscience, behavioral science, digital health, mental health, meditation, mindfulness, or wellbeing science. - Strong judgment around clinical or wellbeing claims, evidence quality, risk, user vulnerability, and real-world applicability. - Comfortable evaluating AI outputs not only for technical correctness, but also for safety, clarity, appropriateness, and evidence alignment. - Able to translate clinical, psychological, or research concepts into product requirements, prompts, workflows, and engineering decisions. - Comfortable working across engineering, product, research, and clinical domains. - Pragmatic and product-minded. You know when to move quickly, when to slow down, and when quality or safety needs to come first. - Motivated by building systems that help millions of people live healthier, calmer, and more meaningful lives. Benefits - We offer competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days are available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - We host a global company retreat every other year.

Role Description We’re looking for a Clinical AI Research Lead to help shape the next generation of intelligent wellbeing experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. This is a rare role at the intersection of mental health, meditation, wellbeing science, clinical reasoning, research, and AI product development. You’ll work closely with our Head of AI, product team, engineers, and content experts to help evaluate and improve AI-generated outputs related to: - Meditation - Mental health - Sleep - Anxiety - Stress - Emotional wellbeing - Behavior change The role is not simply academic, clinical, or product-focused. It sits across all three: - Reviewing AI outputs - Evaluating the quality of evidence behind them - Identifying risks and limitations - Improving prompts and workflows - Helping engineers translate clinical and research insight into better product experiences There is also scope for this role to develop into a clearly defined internal research stream, including work on peer-reviewed publications and the broader research agenda for Insight Timer. Depending on the candidate, this could be one broad role or eventually split into multiple roles across clinical AI evaluation, research, and product development. If you’re excited by the challenge of helping build AI systems that support millions of people in living healthier, calmer, and more meaningful lives, we’d love to meet you. Qualifications - Strong clinical, psychological, behavioral science, or mental health research expertise - PhD, completing a PhD, or equivalent clinical and research experience - Academic researcher, clinician-researcher, psychologist, psychiatrist, behavioral scientist, meditation researcher, or wellbeing researcher - Understanding of how to evaluate evidence, including study quality, internal and external validity, strength of findings, and real-world limitations - Familiarity with meditation, mindfulness, contemplative practice, psychotherapy, behavior change, or related wellbeing techniques - Comfortable working with ambiguity and bringing structure to complex, cross-disciplinary problems - Interest in AI and willingness to work directly with prompts, model outputs, evaluation systems, and product workflows - Ability to communicate clearly with engineers, product managers, designers, researchers, and non-clinical stakeholders - Strong judgment regarding evidence-based, speculative, overstated, risky, or unclear information - Excited by the opportunity to work on products that reach millions of people - Care deeply about helping people live healthier, calmer, and more meaningful lives Requirements - Experience working with AI tools, LLMs, prompt engineering, model evaluation, or AI-assisted research workflows (nice to have) - Experience publishing peer-reviewed research in psychology, mental health, meditation, mindfulness, sleep, anxiety, wellbeing, behavior change, or digital health (nice to have) - Clinical experience with anxiety, sleep, stress, emotional regulation, or related areas (nice to have) - Experience working in digital health, consumer wellbeing, mental health technology, or product-led environments (nice to have) - Experience translating research or clinical guidelines into practical interventions, programs, or user-facing experiences (nice to have) - Experience designing or evaluating digital interventions, guided programs, or structured wellbeing pathways (nice to have) - A strong understanding of both academic evidence and the messy realities of how people use consumer products in the real world (nice to have) Benefits - Competitive salaries and options - Fully remote role (must be based in Australia) - Extra leave days for well-being and birthday - A generous L&D budget and wellbeing bonus - Global company retreat every other year

Role Description We’re looking for a Senior AI Engineer to help build the next generation of intelligent experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. You’ll work directly with our Head of AI and backend engineers to turn ambitious ideas into production-grade systems that make a real impact on people’s wellbeing. This role is focused on building, scaling, and operating real AI systems, not a research or data science position. You’ll: - Design and deploy agent workflows - Integrate them with our backend APIs - Build the evaluation and monitoring infrastructure that keeps them reliable at scale - Help define the frameworks, tools, and practices that shape how AI gets built across Insight Timer We’re a fast-moving team that values thoughtful engineering and real-world results. You’ll have the autonomy to make pragmatic tradeoffs, sometimes moving quickly to ship, sometimes investing deeply in quality and stability, always guided by what best serves our users. If you’re motivated by the challenge of building reliable, high-impact systems that reach millions, we’d love to meet you. Key Responsibilities - Design, build, and ship production-grade AI agents that interact with real users and systems at scale. - Build evaluation, testing, and monitoring systems to ensure agent reliability, safety, and continual improvement. - Architect flexible, modular workflows that make it easy to extend and iterate on AI capabilities. - Integrate agents with existing backend APIs and data systems, collaborating with backend engineers to expose the right capabilities. - Translate early AI prototypes into scalable, maintainable production systems used by millions of people. - Take ownership of Insight Timer’s GenAI infrastructure, shaping best practices, frameworks, and internal tooling. - Design data and feedback pipelines that help improve agent performance through real-world usage and, when appropriate, fine-tuning. - Stay current with emerging agent frameworks and infrastructure approaches, such as LangGraph, CrewAI, and AutoGen, adopting new techniques when they support product goals. Qualifications - 5+ years of experience in software engineering, including at least one production system involving AI agents or LLM-based automation. - Strong Python fundamentals. You write clear, reliable code, and know how to move fast without losing sight of maintainability. - Solid understanding of software design principles, modular architecture, and system integration. - Experience building or operating backend services, APIs, or distributed workflows in production. - Familiarity with agent frameworks such as LangGraph, CrewAI, AutoGen, or confidence learning similar systems quickly. - Comfortable designing evaluation, monitoring, and feedback pipelines to keep systems improving over time. - Thrive in a fast-paced environment where pragmatic trade-offs and iteration speed matter. - Motivated by impact. You care about building reliable systems that help millions live healthier, more meaningful lives. Benefits - We offer competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days are available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - We host a global company retreat each year.

• Design, build, and ship production-grade AI agents that interact with real users and systems at scale. • Build evaluation, testing, and monitoring systems to ensure agent reliability, safety, and continual improvement. • Architect flexible, modular workflows that make it easy to extend and iterate on AI capabilities. • Integrate agents with existing backend APIs and data systems, collaborating with backend engineers to expose the right capabilities. • Translate early AI prototypes into scalable, maintainable production systems used by millions of people. • Take ownership of Insight Timer’s GenAI infrastructure, shaping best practices, frameworks, and internal tooling. • Design data and feedback pipelines that help improve agent performance through real-world usage and, when appropriate, fine-tuning. • Stay current with emerging agent frameworks and infrastructure approaches, such as LangGraph, CrewAI, and AutoGen, adopting new techniques when they support product goals.

• Motion Design: Bring polish and meaning to key product experiences through elegant motion, transitions, and micro-interactions. • Product Design: Design beautiful, intuitive mobile interfaces across core and AI-powered features, maintaining the simplicity that makes Insight Timer accessible to everyone. • Prototyping: Create interactive prototypes on a weekly cadence to pitch new features and experiments with product leads. • Design-to-Engineering Handoff: Translate promising prototypes into polished, spec-ready designs aligned with our system. • Testing & Iteration: Design variants and rapidly iterate as part of our continuous testing culture. • Collaboration: Partner closely with the Head of Design, Senior PMs, engineers, and CEO.

• Product Design: Design beautiful and intuitive mobile interfaces for our core experience, AI-powered features, and therapist experience. • AI Product Innovation: Ideate and design AI features that make wellbeing more accessible and personalized for millions of users worldwide. • Testing & Iteration: Support our continuous testing culture by designing variants and rapidly iterating on successful concepts. • Collaborative Design: Work hand-in-hand with our Head of Design and Senior Product Managers to translate requirements into compelling user experiences, and work with engineers to ensure high-quality, well-crafted implementation. • User-Centered Problem Solving: Tackle complex UX challenges across all areas of the app while maintaining the simplicity that makes our platform accessible to everyone. • Rapid Prototyping: Create interactive prototypes using Figma and AI tools to quickly communicate and validate design concepts.