Anthropic Residency 2026: Paid AI Research Programme Offering Up to US$500,000 Annually | Remote Option | Apply by 22 November 2026

Overview

The Anthropic Residency is a paid research programme created for experienced technical professionals aiming to move into artificial intelligence research. Participants collaborate with research teams on projects addressing empirical questions in AI safety, alignment, security, and machine learning systems. The programme combines practical research, mentorship, structured learning, and access to advanced AI models and computing resources. Placements last for six weeks, three months, or six months, with options for flexible start dates.

Who Can Apply

The programme is designed for established technical professionals who exhibit strong problem-solving skills, creativity, and leadership. Suitable candidates include professors in mathematics, physics, and other quantitative disciplines, staff-level engineers who have managed complex technical projects, technical founders of technology products or companies, and experienced researchers. Applicants do not need a PhD, prior machine learning experience, or published academic papers, but the initiative is not suited for recent graduates or entry-level participants. Candidates may apply through recruitment portals for the United States or the United Kingdom, and remote participation may be considered.

What You Get

Selected participants receive prorated compensation based on an annualised range of US$350,000 to US$500,000, along with a dedicated computing budget and guidance from experienced mentors. The residency offers an avenue to develop skills for full-time AI research careers, though permanent employment is not guaranteed upon completion.

Requirements

Candidates must possess a strong technical background, the capability to implement ideas quickly, effective communication skills, and the drive to contribute to AI safety. Applicants must submit an application detailing their technical leadership experience, motivation for shifting into AI research, and preferred research areas.

Key dates

Applications close on 22 November 2026.