Alignment and RLHF | Field

Amanda Askell is a philosopher and AI alignment researcher at Anthropic. Her personal site says she previously worked as a research scientist on the policy team at OpenAI.

Research scientist at Anthropic who leads the Societal Impacts team and works on AI evaluation, alignment, and societal impacts.

Tom Henighan works on large language model interpretability at Anthropic. He previously worked on scaling laws at OpenAI and machine learning engineering at Beehive AI, and he studied physics at Stanford after graduating from Ohio State University in 2010 with a degree in English, mathematics, and philosophy.

Sandipan Kundu is a member of technical staff at Anthropic. His public The Org profile says he previously held postdoctoral positions at Johns Hopkins and Cornell, worked and studied at the University of Texas at Austin, and earned a master's degree in physics from the Indian Institute of Technology Kanpur.

Sheer El-Showk is a member of technical staff at Anthropic. His public The Org profile says he is also CTO at Lore AI and founder of Nascent AI, previously worked as a senior software engineer at Coiled and held postdoctoral research fellowships at CERN and the CEA, and earned physics and mathematical physics degrees from UC Berkeley and the University of Amsterdam.

Neel Nanda is an independent researcher focused on mechanistic interpretability and understanding neural networks. He previously worked on Anthropic's model diffing team, did the ML Alignment & Theory Scholars program, studied mathematics at the University of Cambridge, and is known for interpretability tooling such as TransformerLens.

Researcher at Anthropic whose public report authorships and scholarly profiles cover language model evaluation, AI safety, and robustness.

Founder and CEO of Ricursive Intelligence, a frontier AI lab targeting chip design; previously a Senior Staff Research Scientist at Google DeepMind and an early employee at Anthropic.

Research scientist at Anthropic whose public work includes AI alignment, reinforcement learning from human feedback, and model behavior.

Nelson Elhage is an engineer and researcher at Anthropic, where he works on the pretraining team after earlier work on reverse-engineering large language models. He previously worked at Stripe and Ksplice/Oracle on systems software and is known for open-source systems projects such as livegrep and reptyr.

Researcher at Anthropic working on alignment, reasoning, and evaluation for large language models.

Christopher Olah is a co-founder of Anthropic whose public writing focuses on interpretability, neural network circuits, and deep learning visualization. His homepage notes earlier work at OpenAI and Google Brain.

Researcher at Anthropic whose public homepage and scholarly profile connect cognitive science research with AI.

Co-founder and Head of Policy at Anthropic. His public biography also notes earlier work as Policy Director at OpenAI, a technical journalist, and author of the Import AI newsletter.

Research scientist at Anthropic working on machine learning systems and AI; previously worked on machine learning systems, compilers, and sustainability at Google.

Member of technical staff at Anthropic and associate professor of computer science, data science, and linguistics at New York University on leave. His public homepage focuses on natural language processing, machine learning, and AI alignment.

Research scientist at Anthropic focused on scalable oversight, AI safety, and language model evaluation; previously worked at New York University and Google.

Member of Technical Staff at Anthropic and cofounder of Oulipo Labs, working on language model safety, evaluations, and scientific forecasting.

Co-founder and CEO of Anthropic.

Researcher focused on AI safety, reinforcement learning, and language models, with public work spanning red teaming, adversarial robustness, and model behavior.

Staff software engineer at Anthropic building systems for AI safety, reliability, and alignment.

Anthropic researcher working on machine learning and AI-assisted science; previously built tools for learning from text, images, and tabular data.

Anthropic report author whose public publication record includes work on language model evaluations, AI safety, and model behavior.

Anthropic report author whose public publication record includes work on language model calibration, interpretability, and AI safety.

Research scientist at Anthropic working on reasoning and geometry-aware machine learning.

Jared D. Kaplan is a co-founder and Chief Science Officer at Anthropic. Anthropic's public materials also identify him as the company's Responsible Scaling Officer.

Anthropic researcher whose work includes reinforcement learning from human feedback and Constitutional AI; previously a Sherman Fairchild Postdoctoral Scholar in theoretical high-energy physics at Caltech.

Member of Anthropic's Interpretability team, where he works on understanding how large language models work.

Anthropic report author listed on RLHF, Constitutional AI, Collective Constitutional AI, and Many-shot Jailbreaking reports, with report-backed work on alignment and adversarial evaluation.

Dawn Drain is an Anthropic-affiliated researcher in the United States. Public sources list her as a coauthor of Anthropic's helpful and harmless assistant paper and show 2022 software engineering publication credits including work on code completion and automated repair with large language models.

Jared Mueller is affiliated with Anthropic. Public materials list him as an Anthropic participant at the 2023 Economics of Robots Conference, and the linked arXiv paper lists him as a coauthor on Anthropic's Constitutional AI work.

Joshua Landau is affiliated with Anthropic. Public Anthropic research materials list him as a coauthor of Measuring Progress on Scalable Oversight for Large Language Models, and the linked arXiv paper lists him as a coauthor of Constitutional AI.

Research scientist at Anthropic known for mechanistic interpretability work, including early research on feature visualization and circuits in neural networks.

Carroll "Max" Wainwright is a founder and AI advisor at Metaculus. Public OpenAI materials also list him among contributors to ChatGPT, GPT-4, and GPT-4o-era work, and a 2025 OpenAI filing describes him as a former OpenAI alignment researcher.

Catherine Olsson is an AI alignment researcher and writer whose public website and Anthropic author page describe work on AI safety, interpretability, and building helpful, harmless assistants.

A public Anthropic/AWS presentation describes Ben Mann as an Anthropic co-founder and former GPT-3 and API engineer at OpenAI. The previously attached benmann.com homepage is now a parked domain rather than a personal research site.

Timothy Telleen-Lawton is an independent researcher focused on inspiring and scaling collective intelligence. His public LessWrong profile says he previously served as Head of Procurement at Anthropic starting in 2021, and also lists prior work at CFAR and GiveWell.

AI governance researcher at the Centre for the Governance of AI and former Anthropic resident researcher, with interests in language models, AI safety, scalable oversight, and evaluations.

Sam McCandlish is listed as an author of the Anthropic technical report Collective Constitutional AI: Aligning a Language Model with Public Input.

Researcher at Anthropic working on the alignment and evaluation of advanced AI systems.

Research scientist at Anthropic working on model behavior and interpretability.

Software engineer at Anthropic working on infrastructure, tooling, model behavior, and multimodal systems.

Member of Technical Staff at Anthropic whose work focuses on understanding, evaluating, and improving large language models, with emphasis on reasoning, safety, and generalization.

Member of technical staff at Anthropic working on AI systems and alignment, with published work on RLHF and constitutional methods for harmless assistants.

Josh Landau is listed as an author of the Anthropic technical report Collective Constitutional AI: Aligning a Language Model with Public Input.

Computer scientist and machine learning researcher with public work spanning AI systems and alignment-related research.

Researcher working on AI safety and alignment, including Constitutional AI.

Member of technical staff at Anthropic working on large language model training, evaluation, and interpretability.

Research scientist at Anthropic working on machine learning, causality, and computational biology.

Public Anthropic research pages list Danny Hernandez as a co-author on alignment and scaling-law work.

Amanda Askell

Deep Ganguli

Tom Henighan

Sandipan Kundu

Sheer El-Showk

Neel Nanda

Saurav Kadavath

Anna Goldie

Liane Lovitt

Nelson Elhage

Kamal Ndousse

Chris Olah

Noemi Mercado

Jack Clark

Azalia Mirhoseini

Samuel R. Bowman

Ethan Perez

Nicholas Schiefer

Dario Amodei

Shauna Kravec

Zac Hatfield-Dodds

Andy Jones

Nova DasSarma

Tom Conerly

Robert Lasenby

Jared D. Kaplan

Yuntao Bai

Jackson Kernion

Anna Chen

Dawn Drain

Jared Mueller

Joshua Landau

Christopher Olah

Carroll Wainwright

Catherine Olsson

Ben Mann

Timothy Telleen-Lawton

Kamile Lukosuite

Sam McCandlish

Nicholas Joseph

Tom Brown

Scott Johnston

Stanislav Fort

Tristan Hume

Josh Landau

Herbie Bradley

Jamie Kerr

Sam Ringer

Sheer El Showk

Danny Hernandez