Insight Timer

AI Research Scientist

• 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.

Clinical AI Research Assistant