Trust and Safety Responsible Deployment Policy Lead

Trust and Safety Responsible Deployment Policy Lead

Same note as with the other T&S Lead role: companies are very good at acknowledging when certain roles might come into contact with disturbing content but are very bad at addressing how they plan to support your mental health post-exposure to said content.

Anthropic | $240,000-$285,000

Steph's Notes:

Same note as with the other T&S Lead role: companies are very good at acknowledging when certain roles might come into contact with disturbing content but are very bad at addressing how they plan to support your mental health post-exposure to said content.

Unfortunately, Anthropic doesn't appear to be different in this respect, and I'd encourage anyone who ends up interviewing for this role to ask some pointed questions about it.


Original Job Description: Trust and Safety Responsible Deployment Policy Lead

As the Trust and Safety (T&S) Responsible Deployment Policy Lead, you will manage and grow a high-impact team focused on developing policies that guide the safe and responsible deployment of Anthropic's tools and services. Your team will set policy frameworks that help limit harms associated with high-risk sectors like healthcare and finance, create guidelines for third-party developers, identify risks associated with and mitigations strategies for new product features and functions, and more. You'll work cross-functionally with Legal, Public Policy, Sales and Product in upholding robust and comprehensive policies that prevent harm while enabling innovation.  

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. This role may require responding to escalations during weekends and holidays.

Responsibilities:

You may be a good fit if you:

Annual Salary (USD)

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 - On top of this position's salary (listed above), 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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-3Circuit-Based InterpretabilityMultimodal NeuronsScaling LawsAI & ComputeConcrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation based 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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