Enforcement Lead, Trust & Safety

Enforcement Lead, Trust & Safety

I continue to wish that Anthropic would address how they're mitigating the mental health risks of Trust & Safety work, and there are some minor flags ("fast-paced environment," hello darkness my old friend), but it's a solid Eh, It's Probably Fine.

Anthropic | $280,000—$300,000

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This job is closed and no longer accepting applications. I keep an archive of Closed jobs so that you can see how past jobs of a particular company have been rated.

Steph's Notes:

As with their other roles, the person in this role will need to be in office 25% of the time.

Also requires proficiency in SQL and Python. I continue to wish that Anthropic would address how they're mitigating the mental health risks of Trust & Safety work, and there are some minor flags ("fast-paced environment," hello darkness my old friend), but it's a solid Eh, It's Probably Fine.


Original Job Description: Enforcement Lead, Trust & Safety

Remote-Friendly (Travel Required) | San Francisco, CA

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 reports to the Head of Enforcement. As a senior IC, you 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 position will provide leadership to a cross-functional team conducting risk assessments on 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

You may be a good fit if you:

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

The expected salary range for this position is:

Annual Salary:$280,000—$300,000 USD

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.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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:

UK Benefits -  The following benefits are for our UK-based employees:

* 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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