About the Role:
Anthropic is seeking a Research Counsel focused on data to serve as the primary legal advisor on data acquisition, usage, and risk mitigation for our AI research and model development teams. As a member of the Research Counsel function, you will be a subject matter expert on copyright, privacy, and related issues pertaining to data used to develop frontier AI models. The ideal candidate will have experience navigating complex legal challenges at the intersection of machine learning, data acquisition, and content usage in a fast-moving technical environment.
Responsibilities:
- Advise various research teams on permissible data usage and partner with them on our data sourcing strategy. Translate data needs between research teams and legal/policy stakeholders.
- Maintain and evolve guidelines, policies, and controls around data acquisition and use to proactively address legal risks and regulatory requirements related to data.
- Monitor regulatory developments related to AI training data (e.g. EU AI Act) and adapt internal policies and practices proactively.
- Engage with academics, industry groups, and other stakeholders to develop norms and best practices around data governance for AI development.
You may be a good fit if you:
- Are a creative, practical problem solver 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.
- Have expertise in copyright, privacy, and related laws applicable to data used for machine learning.
- Have experience advising on legal issues for AI products or services and knowledge of the machine learning development lifecycle.
- Have excellent written communication skills, with the ability to draft clear policies, whitepapers, and other content. You enjoy engaging with stakeholders to evangelize best practices.
- Have experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules “move to the left.” You thrive in this dynamic environment and pride yourself on your adaptability and ability to pivot with speed and grace.
- Understand how to achieve the right balance between the organization’s mission and goals, when to be flexible and when to draw a hard line.
- Have a knack for identifying and implementing efficient processes and policies.
- Thrive as a member of cross-functional teams building frontier technologies and want to develop a deep understanding of our technical teams and what we are building.
- Enjoy wearing many hats in a fast-growing startup environment and are comfortable operating outside your areas of expertise and in uncharted legal territory.
- Are a “doer” and are willing to roll up your sleeves to get things done. You’re a team player who doesn’t hesitate to jump in to solve difficult problems.
Strong candidates may also have:
- JD and active membership in at least one U.S. state bar (California preferred).
- 5-10 years of legal experience advising on copyright, privacy, data, and related issues for technology companies or AI/ML products (in-house experience preferred).
- Exceptional analytical skills, technical fluency, and ability to navigate ambiguous and uncharted legal territory.
- A thorough understanding of key legal issues in AI development, especially related to training data.
- A track record of educating internal stakeholders, translating complex concepts, and advising on risk mitigation strategies.
- Superior communication abilities, both written and verbal, with proven experience communicating and collaborating cross-functionally with technical teams.
- Be a motivated self-starter able to multi-task and juggle multiple priorities in a dynamic environment.
- A growth mindset, with a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations. Commitment to building trustworthy, ethical AI systems.
- Authentic integrity and a deep understanding of the importance of ethics in business.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
