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You may also support our Alignment, Frontier Red-Teaming, Policy, and Societal Impacts teams to ensure safe, responsible AI development.</p>\n<p>The ideal candidate will have experience navigating complex legal challenges globally in a fast-moving technical environment, as well as translating legal requirements into creative and practical solutions for pioneering AI research and development.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Advise Research teams on permissible data usage and partner with them on data sourcing strategy, maintaining and evolving our data acquisition frameworks, and supporting Research and Data Operations requests</li>\n<li>Counsel the Compute team on relevant legal considerations including data localisation requirements, cross-border data transfers, privacy implications, and copyright considerations for compute infrastructure, partnering with internal subject matter experts as needed</li>\n<li>Monitor regulatory developments related to AI training data and compute operations, adapting internal policies and practices proactively to ensure compliance across jurisdictions</li>\n<li>Translate data and model development implications between research teams and Legal &amp; Policy stakeholders, serving as a bridge between technical and legal functions</li>\n<li>Engage with academics, industry groups, and other stakeholders to develop norms and best practices around data governance for AI development</li>\n<li>Support Anthropic&#39;s Alignment and Frontier Red-Teaming teams to advance their research on AI safety and model vulnerabilities, including advising on vendor engagements, external collaborations, and data usage</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>A JD and active membership in at least one U.S. state bar (California preferred)</li>\n<li>At least 8 years of relevant legal experience, with meaningful experience advising on data localisation and cross-border data transfer frameworks, copyright, privacy, data, and related issues for technology companies or AI/ML products (in-house experience preferred)</li>\n<li>A creative, practical problem solver attitude with a passion and capacity for translating and applying legal requirements to technical concepts related to model development. You understand the importance of enabling innovation while developing responsibly and mitigating risks</li>\n<li>Experience advising on legal issues for AI products or services and academic research, with knowledge of the machine learning development lifecycle</li>\n<li>Excellent written communication skills, with the ability to draft clear policies, whitepapers, and other content. You enjoy engaging with stakeholders to evangelise best practices</li>\n<li>An understanding of how to achieve the right balance between the organisation&#39;s mission and goals, knowing when to be flexible and when to draw a hard line</li>\n<li>An enjoyment of wearing many hats in a fast-growing startup environment and are comfortable operating outside your areas of expertise and in uncharted legal territory</li>\n<li>A &#39;doer&#39; mentality and are willing to roll up your sleeves to get things done. You&#39;re a team player who doesn&#39;t hesitate to jump in to solve difficult problems</li>\n<li>Exceptional communication and analytical skills, technical fluency, and ability to navigate ambiguous and uncharted legal territory</li>\n<li>A growth mindset and epistemic humility with a passion for AI&#39;s potential to positively impact the world and realistic assessment of its risks and limitations. Commitment to building trustworthy, ethical AI systems</li>\n</ul>\n<p><strong>Strong candidates may have:</strong></p>\n<ul>\n<li>In-house or similar experience at a global law firm</li>\n<li>Experience counselling on compute infrastructure or cloud services legal issues</li>\n<li>Experience in a tech company or other fast-paced environment</li>\n</ul>\n<p><strong>Role-specific policy:</strong></p>\n<p>For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.</p>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;s On Target Earnings (&#39;OTE&#39;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary:</p>\n<p>$265,000 - $320,000 USD</p>\n<p><strong>Logistics</strong></p>\n<p>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. 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.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification in the job description. 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