Enforcement Lead, Trust & Safety
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.
About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.
About the role:
As an Enforcement Lead on the Trust and Safety team, you will develop enforcement and monitoring strategies for upholding our Usage Policies. This role sits on the Policy Enforcement team, and will work closely with the Product Policy team to develop deep expertise in our Usage Policy and internal policy standards so that they can be consistently enforced across our suite of products, customers and users. You will be a key driver in shaping and enforcing our policies, making critical decisions that directly impact the safety and integrity of our platform.
This role will provide enforcement strategies for new products and features, recommending mitigation strategies, and working closely with Product teams on implementation.
IMPORTANT CONTEXT ON 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. There is also an on-call responsibility across the Policy and Enforcement teams.
Responsibilities
- Drive the development, implementation, and enforcement of AI policies across Anthropic’s products, ensuring consistency and effectiveness
- Build out processes and intake methods to evaluate new products for trust and safety issues, working closely with product teams to establish a robust risk assessment framework
- Utilize risk analyses and metrics to develop new enforcement mitigation strategies, working closely with Product and Engineering
- Analyze harmful behavior and identify trends to better understand the threat landscape and help improve our detection methods
- Make critical policy enforcement decisions, balancing the need for safety with the potential impact on our users and customers
- Collaborate closely with internal stakeholders, driving alignment on abuse mitigation strategies, and providing strategic guidance to ensure the safe and responsible deployment of AI capabilities
- Understand and oversee the customer journey across all T&S enforcement actions from detection to user communication to appeals
You may be a good fit if you:
- Understand the challenges and opportunities of operationalizing product policies, including in the content moderation space, and can incorporate this into our enforcement strategy
- Have experience developing and implementing processes that scale globally in a fast paced environment
- Think creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
- Foster strong relationships with internal teams, including product, engineering, legal, sales, support, security, and marketing to ensure seamless collaboration and alignment on new product launches.
- Have a strong ability to navigate ambiguity, build consensus, and execute
- Are proactive, enjoy identifying policy and process gaps, and owning end to end solutions
- Have proficiency in SQL and Python
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Logistics
Location-based 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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits - The following benefits are for our US-based employees:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits - The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term 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. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact 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: GPT-3, Circuit-Based 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.
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