Researcher, Education Labs

About the role

We are seeking a dedicated education researcher to strengthen how our team measures learning and AI fluency. This role involves designing and running mixed-methods studies, building and validating instruments, translating research insights into product improvements, and generating new insights about AI's impact on learning.

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 the instruments, measures, and evaluation methods the team relies on, ensuring 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 net-new insights about how AI is reshaping learning, and how communities and organizations can organize to learn alongside it.
• Create tools using code and software to collect validated metrics at scale.

Requirements

• A research background in learning sciences, education, cognitive science, HCI, educational psychology, or a closely related field.
• Strong mixed-methods skills: experimental design, measurement and psychometrics, qualitative methods, and the judgment to choose the right approach for the question.
• Hands-on technical skill in Python, data analysis, and working with LLMs, enough to run your own analyses and prototype new measures.
• Comfort deriving insight from imperfect, dynamically changing data, and comfort making research decisions with incomplete information while holding a high bar.
• Comfort with ambiguity and undefined problem spaces, plus a bias toward rapid, iterative inquiry and quick learning loops.
• Clear communication and a track record of cross-functional collaboration with product, design, engineering, and research partners.
• Genuine curiosity about how AI is changing how people learn, work, and build capability, and a strong perspective on technology enhancing human capability rather than diminishing it.
• Experience measuring capability or skill development in production, including experimentation frameworks and A/B testing.
• Experience building simple tools or interfaces that let non-technical collaborators 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, and why they matter as people learn alongside AI.
• Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity.

Qualifications

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

Benefits

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day.

Pay

The annual compensation range for this role is $300,000—$405,000 USD.

Schedule

We currently expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Location-based hybrid policy

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Guidance on Candidates' AI Usage

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us!

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

What This Role Is Not

This is a hands-on research role embedded in a small team that builds and ships, not a standalone academic post. You will publish and influence, but you will also work shoulder to shoulder with engineers and designers to get measures and features into the hands of real learners. The role does not involve people management at the outset. If you are looking to immediately move into research management or lead a large team, this likely is not the right fit.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us!

Our Values

We are a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.