Conceptual Reasoning Fellow

Anthropic; Greater London; Hybrid; GBP 75,000 - 125,000; Full time

Benefits offered by this job

Mentorship from Anthropic researchers

Access to Claude models

Job summary

Anthropic Limited is offering a four-month research fellowship focused on AI safety, reasoning, and evaluation design. Fellows will work with Anthropic researchers, access Claude models, and collaborate with a cohort of peers to study hard questions in ethics, economics, and policy.

The program runs January 12 to May 8, 2027, with possible extension and remote options within the United States and United Kingdom in certain circumstances.

Qualifications

• Hold (or be completing) a PhD in philosophy, cognitive science, economics, policy or law, or have equivalent research experience.
• Hands-on experience using Claude and Claude Code in day-to-day workflow.
• Ability to work in a fast-paced, high-agency atmosphere for several months and deliver concrete results.

Responsibilities

• Identify key open problems in your field and use Claude to make progress.
• Assess societal challenges where your field’s expertise is crucial for addressing them.
• Design evaluations and RL environments that test models in your field.
• Collaborate with Fellows to build environments pushing Claude on hard, judgment-heavy problems.

Skills

Claude experience

Analytical writing

Academic research

Education

PhD in philosophy

PhD in cognitive science

PhD in economics

PhD in policy or law

Bachelor's degree or equivalent

Tools

Claude Code

Claude models

Job description

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.

Program Overview

Many of the questions that will shape our future have no single checkable answer. Reasoning well about them, whether in law, policy, philosophy, economics, cognitive science, or AI safety itself, takes the kind of judgment experts spend years building. We believe frontier AI, developed safely, can become a real partner on these questions, but getting there means working closely with the people who know these fields best.

What to Expect

• A concrete, scoped project matched to your background, with mentorship from Anthropic researchers.
• Access to frontier Claude models and internal evaluation tooling.
• A cohort of incoming Fellows to collaborate with and a connection to Anthropic's broader research community.

Compensation

$100,000-$167,000 USD for the four-month fellowship (equivalent to $300,000-$500,000 USD annualized), and other benefits.

Key responsibilities

• Identifying key open problems in your field, assessing approaches to solving them, and using Claude to make progress on them.
• Identifying grand societal challenges which the expertise of your field is crucial for addressing, and assessing Claude's strengths and weaknesses in tackling them.
• Designing evaluations and RL environments that test models in your field systematically, turning your expertise into working tests of how well Claude reasons in your field.
• Team up with other Fellows in your field to build environments that push Claude on the hardest, most judgment-heavy problems your discipline has to offer.

Minimum qualifications

• Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters.
• Hands-on experience using Claude and Claude Code in your day-to-day workflow.
• Hold (or are completing) a PhD in philosophy, cognitive science, economics, policy or law, or have equivalent research experience.
• Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results.
• Existing authorization to work in the United States for the duration of the program.

Preferred qualifications

• Experience designing evaluations, benchmarks, datasets, or expert rubrics.
• Demonstrated expertise in your field, shown through research, scholarship, or expert-level analytical writing.

Representative projects

• A philosopher building hard cases that require normative judgment in ethics or formal epistemology.
• A cognitive scientist designing experimental-design and model-comparison tasks.
• An economist writing modelling and identification problems with ground truth.
• A policy scholar drafting regulatory and cost-benefit analysis tasks with expert rubrics.
• A legal scholar building AI-policy-relevant law datasets.

Logistics - Fellows

The program runs from January 12th to May 8th 2027, and is full-time for the duration; some fellowships may be considered for an extension. Later stages will typically include a take-home exercise and conversations with our research team and potential mentors about your research interests and possible project directions. We ask that all Fellows attend a one-week in-person orientation in San Francisco. The default location is in San Francisco. We will consider remote engagements within the United States and fellows working in the United Kingdom in certain circumstances. We are not currently able to sponsor visas for fellows. To participate in the Fellows program in the United States, you need to have or independently obtain full-time work authorization in the United States.

This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

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.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However,…