Researcher, Education Labs

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. Education Labs studies how people learn and build capability with AI, closing the loop between discoveries and learning tools the world can access.

Responsibilities

• Design and run mixed-methods studies on how people develop real skill with AI, measuring success by capability growth rather than engagement.
• Build and validate instruments, measures, and evaluation methods so findings hold up to scrutiny and can be trusted by research, product, and policy partners.
• Translate research insights into shipped product, curriculum, and model-level improvements through close collaboration with engineers, designers, and researchers.
• Generate new insights about how AI is reshaping learning and how communities and organizations can organize to learn alongside it.
• Communicate work through clear writing, prototypes, and presentations that shape thinking across the organization.
• Create tools using code and software to collect validated metrics at scale.

Requirements

• Research background in learning sciences, education, cognitive science, HCI, educational psychology, or a closely related field (formal or self-directed).
• Strong mixed-methods skills: experimental design, measurement and psychometrics, qualitative methods, and the judgment to choose the right approach for each question.
• Hands-on technical skill in Python, data analysis, and working with LLMs, sufficient to run analyses and prototype new measures.
• Comfort deriving insight from imperfect, dynamically changing data and making research decisions with incomplete information.
• Comfort with ambiguity and undefined problem spaces, with a bias toward rapid, iterative inquiry and quick learning loops.
• Clear communication and cross-functional collaboration experience with product, design, engineering, and research partners.
• Genuine curiosity about how AI changes learning, work, and capability, with a perspective favoring technology that enhances human capability.

Strong candidates may also have

• Experience measuring capability or skill development in production, including experimentation frameworks and A/B testing.
• Experience building simple tools or interfaces for non-technical collaborators to evaluate or learn from AI systems.
• Published writing, talks, or open work on skill development, human-AI interaction, or the learning sciences.
• Experience in learning platforms, developer tools, creative tools, or other products where mastery matters more than engagement.
• A point of view on how human relatedness and social connection shape learning.
• Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity.

What this role is not

• This is a hands-on research role embedded in a small team that builds and ships; it is not a standalone academic post or an immediate people-management position.

Compensation

• Annual Salary: $300,000 - $405,000 USD

Logistics

• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
• Location-based hybrid policy: currently expect all staff to be in one of Anthropic's offices at least 25% of the time.
• Visa sponsorship: Anthropic states that they sponsor visas and retain an immigration lawyer to help, though not every role/candidate can be successfully sponsored.

Additional notes

• Anthropic encourages applications from candidates who may not meet every listed qualification and emphasizes diversity and representation in hiring.
• Guidance on candidate AI usage and application process safety notes are provided by Anthropic.