The Anthropic STEM Fellows Program is offered by Anthropic, a public benefit corporation headquartered in San Francisco. The organisation focuses on developing reliable, interpretable, and steerable artificial intelligence systems that are safe and beneficial for society.
Anthropic brings together researchers, engineers, and policy experts to advance AI systems capable of supporting scientific discovery and solving complex global challenges.
Programme Overview
The STEM Fellows Program is designed to bring scientists, engineers, and domain experts into Anthropic’s research environment for a short-term, high-impact collaboration.
The programme contributes to Anthropic’s long-term vision of building an AI scientist—a system capable of:
Long-horizon reasoning
Experimental judgement
Scientific discovery across disciplines
Fellows work directly with Anthropic’s research teams, combining domain expertise with advanced AI tools such as Claude to evaluate, improve, and apply AI capabilities in real-world scientific contexts.
Programme Structure
The fellowship is a full-time, in-person programme based in San Francisco, USA, with the following structure:
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Duration: June 15 – September 15 (approximately 3 months)
Extension: Possible for selected fellows
Commitment: Full-time engagement
Compensation: Approximately $3,800 per week stipend
Work Authorisation: Required for the United States
Participants also gain access to Anthropic’s offices, tools, and research community.
What Fellows Can Expect
Participants in the programme benefit from:
A defined research project aligned with their expertise
Direct mentorship from Anthropic researchers
Access to frontier AI models such as Claude
Use of internal evaluation and research tools
Collaboration with a cohort of fellows and the broader research team
The programme emphasises practical outcomes, with projects scoped to deliver results within the fellowship period.
Key Areas of Work
Fellows contribute to advancing AI capabilities in scientific domains through:
Evaluation and Testing
Designing rigorous evaluation frameworks
Testing AI systems’ ability to reason, interpret data, and plan experiments
Identifying failure points and areas where models produce incorrect outputs
Data and Capability Development
Creating or identifying datasets to improve AI performance
Developing techniques to address gaps in reasoning or domain knowledge
Applied Research
Applying AI tools to real-world scientific challenges
Integrating domain-specific software and modelling tools
Exploring innovative uses of AI in areas such as climate science, materials science, and engineering
Example projects may include improving AI reasoning in materials science or integrating atmospheric modelling tools in climate research workflows.
Ideal Candidate Profile
The programme targets highly skilled individuals with strong scientific backgrounds. Ideal candidates typically:
Hold or are completing a PhD in a STEM field, or have equivalent research experience
Demonstrate strong analytical and scientific reasoning skills
Are interested in the role of AI in accelerating scientific discovery
Are comfortable working in fast-paced, research-driven environments
Show willingness to learn and adapt quickly
While experience in machine learning is beneficial, it is not mandatory. Domain expertise and scientific judgement are prioritised.
Additional Preferred Skills
Strong candidates may also have:
Experience using AI tools such as Claude or similar systems
Familiarity with computational or data-driven research methods
Experience integrating software tools into scientific workflows
Interest in interdisciplinary research
Application Process
Candidates must complete a multi-stage selection process:
Submit an online application
Complete an initial technical assessment
Undertake a take-home exercise
Participate in a discussion with a mentor regarding research interests
Application Deadline: May 15, 2026
Final Decisions: Expected by June 1, 2026
Applicants are encouraged to apply even if they do not meet every listed requirement.
Diversity and Inclusion
Anthropic promotes diversity and inclusion within its programmes. The organisation actively encourages applications from individuals from underrepresented groups and emphasises the importance of diverse perspectives in shaping the future of AI.
The company also highlights awareness of imposter syndrome and encourages candidates not to self-select out of the application process.
Research Environment and Culture
Anthropic operates as a collaborative, research-driven organisation that treats AI development as an empirical science. Its work draws from disciplines such as:
Physics
Biology
Computer science
The organisation focuses on large-scale, high-impact research projects rather than isolated technical challenges. Communication, collaboration, and scientific curiosity are key values within the team.
Safety and Recruitment Notice
Applicants are advised that legitimate recruitment communication from Anthropic will only come from official email domains. The organisation does not request payment or financial information during the recruitment process.
Conclusion
The Anthropic STEM Fellows Program offers a unique opportunity for scientists and engineers to collaborate with leading AI researchers on cutting-edge projects. By combining domain expertise with advanced AI systems, fellows contribute to shaping the future of scientific discovery and responsible AI development.
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Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.
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