Researcher, Education Labs at Anthropic focuses on measuring how people learn and build capability with AI. The role involves designing mixed‑method studies, building and validating instruments, translating insights into product improvements, creating tools with code, and communicating findings. It is a hands‑on research position embedded in a small team that publishes results and collaborates closely with engineers, designers, and researchers.
Researcher, Education Labs at Anthropic
Hybrid - San Francisco, CA, New York City, NY
More jobs at AnthropicSalary
USD 300,000 - 405,000
Requirements
Skills
- 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 judgment to choose the right approach
- Hands‑on technical skill in Python, data analysis, and working with LLMs
- Comfort deriving insight from imperfect, dynamically changing data, and making research decisions with incomplete information
- Comfort with ambiguity and undefined problem spaces, bias toward rapid, iterative inquiry and quick learning loops
- Clear communication and cross‑functional collaboration track record
- Genuine curiosity about how AI is changing how people learn, work, and build capability, and a strong perspective on technology enhancing human capability
- 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 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
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, so that 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
- Communicate your 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
Technologies
PythonData analysisLLMsSoftware development
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