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International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. 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Excellent communication, interpersonal, analytical, and organizational skills. Superior reading comprehension and ability to exercise sound independent judgment with incomplete or ambiguous information. Genuine interest in technological innovation and its application to investment research.</p>\n<p>Preferred Skills and Experience: Relevant certifications (e.g., FINRA licenses such as Series 7/63/86/87, current or expired). Familiarity with Bloomberg, FactSet, Capital IQ, or similar research platforms. Experience writing and publishing research notes, earnings summaries, or coverage reports for institutional clients. Experience mentoring or training junior associates in research methodologies, modeling best practices, or report writing. Quantitative mindset with ability to integrate structured data insights into fundamental analysis. Comfort recording audio or video sessions for data collection purposes. Prior exposure to AI, machine learning, data visualization, or data annotation workflows.</p>\n<p>Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. For US-based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. 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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.</p>\n<p><strong>About the Role</strong></p>\n<p>Anthropic&#39;s Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you&#39;ll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. 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However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<p><strong>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&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>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. 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