Safeguards Policy Analyst

About Anthropic

Anthropics 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.

As a Safeguards Policy Analyst you will be responsible for building and executing enforcement workflows for our products and services with a focus on detecting and mitigating potential harmful use. In this role you will have the unique opportunity to function both as a policy owner and develop the enforcement strategy for a suite of policies. As a member of the user Integrity and Authenticity team your initial focus will be on improving on the current policies and expanding integrity and authenticity enforcement workflows. This role may later expand to include broader areas and methods of harm reduction. Safety is core to our mission and youll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless helpful and honest way.

*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics including those of a sexual violent or psychologically disturbing nature.

Responsibilities

• Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
• Partner with Product Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems
• Review flagged content to drive enforcement and policy improvements
• Work with external experts to gather feedback on policy product interventions and harm mitigations
• Enforce usage policies with a focus on detecting and mitigating potential harmful use of AI systems
• Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
• Keep up to date with emerging AI policy enforcement best practices and use these to inform our decisionmaking and workflows

You may be a good fit if you have:

• Experience establishing and scaling policy enforcement and review workflows
• Written and improved policies for tech products and platforms
• Excellent written and verbal communication skills with the ability to explain complex policy topics to various audiences
• Used SQL and/or other data analysis tools to draw insights from large datasets
• Identified emerging risks and threat actors and provided feedback to a diverse sets of stakeholders such as Product Policy Engineering and Legal teams
• Worked with generative AI products including writing effective prompts for content review and enforcement
• Navigated and thrived in a fastpaced and dynamic environment
• An understanding of the challenges that exist in implementing product policies at scale including in the content moderation space
• Maintained strong collaboration with team members while navigating rapidly evolving priorities and workstreams
• Experience as a trust & safety professional or subject matter expert working in one or more of the following focus areas: elections influence operations or fraud and abuse

Deadline to apply:None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

Locationbased hybrid policy: Currently we expect all staff to be in one of our offices at least 25 of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

How were different

We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highestimpact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT3 CircuitBased Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues.