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 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, and 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, and useful for real-world users. This will involve scoring outputs using rubrics, checking claims against evidence, identifying unsafe or overstated recommendations, and 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, or 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.
About Insight Timer
Imagine a platform which could amplify something as simple as your attendance into deep transformational shifts for humanity. A place where showing up was enough. Where each individual visit combined with millions more to trigger huge waves of health and happiness around the world. What would such a platform look like? Could you even build it? And more importantly, how would you protect it from becoming another Instagram, TikTok or Twitter which magnify the very worst of us.
If we can answer these questions, we believe Insight Timer’s community will emerge as one of the most important companies of the 21st century. A place, not a product, which is capable of reversing the modern day health pandemic by harmonising the human spirit before problems arise. And if we get there, well, the opportunities are endless. Imagine a modern-day renaissance where health, belonging and purpose become the new definitions of happiness for hundreds of millions of people around the world, including you.
And all you need to do is show up.
Key Responsibilities
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Review AI-generated outputs related to meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change.
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Score and label AI outputs using structured rubrics and evaluation frameworks.
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Assess whether outputs are clear, safe, evidence-informed, clinically appropriate, and useful for real-world users.
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Check claims against available evidence, including academic literature, clinical guidance, and internal research standards.
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Identify recommendations that are unsafe, overstated, unsupported, vague, misleading, or poorly explained.
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Flag potential issues related to indications, contraindications, evidence quality, risk, and real-world applicability.
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Compare AI outputs across different prompts, workflows, models, or evaluation conditions.
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Help prepare short research summaries, evidence notes, and internal review documents.
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Support prompt testing and AI evaluation workflows, including documenting what works, what fails, and why.
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Use tools such as ChatGPT, Claude, and other AI systems to support research, synthesis, review, and day-to-day work.
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Communicate structured feedback to the Head of AI, Clinical AI Research Lead, product team, and engineers.
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Help improve the quality, safety, and usefulness of AI-powered wellbeing experiences over time.
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Support internal research and publication-related work where relevant, under supervision.
Requirements
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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.
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You may be a graduate student, master’s student, PhD student, clinician-in-training, junior researcher, research assistant, or early-career health professional.
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You understand how to think about evidence, including study quality, strength of findings, limitations, and real-world relevance.
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You are comfortable checking claims against research and identifying when something is unsupported, exaggerated, unclear, or potentially unsafe.
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You can think carefully about indications, contraindications, risk, and the limits of general wellbeing or mental health recommendations.
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You are detail-oriented and comfortable doing careful review work across many examples or outputs.
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You can use structured rubrics and apply consistent judgment across repeated evaluation tasks.
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You write clearly and can explain your reasoning in plain language.
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You are comfortable using AI tools such as ChatGPT, Claude, or similar systems for research, synthesis, review, and day-to-day work.
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You are interested in how AI can be used responsibly in meditation, wellbeing, mental health, and consumer health products.
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You are comfortable working under supervision and escalating uncertain or higher-risk issues to senior reviewers.
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You are organised, thoughtful, and able to bring structure to ambiguous questions.
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You care about building products that help people live healthier, calmer, and more meaningful lives.
Nice to Have
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Experience reviewing or summarising academic papers, clinical guidance, or health-related evidence.
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Experience working as a research assistant or in a structured research environment.
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Familiarity with meditation, mindfulness, contemplative practice, psychotherapy, behavior change, sleep, anxiety, stress, or emotional regulation.
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Experience using AI tools for research, synthesis, prompt testing, or evaluation.
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Experience with prompt testing, AI output review, model comparison, or AI evaluation workflows.
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Experience creating evidence summaries, literature reviews, annotated bibliographies, or research briefs.
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Experience with digital health, mental health technology, consumer wellbeing products, or online interventions.
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Comfort working with spreadsheets, annotation tools, scoring systems, or structured review processes.
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Interest in supporting internal research and publication-related work over time.
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Strong judgment, curiosity, and willingness to learn across clinical, research, product, and AI domains.
Benefits
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We offer competitive salaries and options.
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The role is fully remote, but you must be based in Australia.
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Extra leave days are available for your well-being and birthday.
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A generous L&D budget and wellbeing bonus.
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We host a global company retreat every other year.
