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About Axiom As the leading alternative legal services provider globally, Axiom gives in-house legal teams on-demand access to top legal talent and lawyers - deployed when, where, and how clients need it, for up to 50% less than national law firms. Axiom's network of 14,000+ legal professionals includes 4,000+ lawyers with Fortune 500 experience, delivering AI-enabled legal services across more than 12 practice areas. Trusted by 75% of the Fortune 100 and thousands of mid-market leaders, Axiom ranks #1 among Alternative Legal Service Providers in 8 of 9 performance categories - including talent quality, breadth, productivity, and client experience - according to a top 5 global consulting firm. Across more than 3,000 engagements annually in 6 regions and 4 continents, 93% of clients rate Axiom lawyers as good as or better than top law firm attorneys, with 96% client satisfaction and measurable cost savings that reduce outside counsel spend without sacrificing quality. Stop overpaying for law firm work. Start with Axiom. About the role Reporting into the VP, People, the Benefits Analyst supports the day to day administration of U.S. benefits, leave, new hire and related people operations processes. 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About Axiom As the leading alternative legal services provider globally, Axiom gives in-house legal teams on-demand access to top legal talent and lawyers - deployed when, where, and how clients need it, for up to 50% less than national law firms. Axiom's network of 14,000+ legal professionals includes 4,000+ lawyers with Fortune 500 experience, delivering AI-enabled legal services across more than 12 practice areas. Trusted by 75% of the Fortune 100 and thousands of mid-market leaders, Axiom ranks #1 among Alternative Legal Service Providers in 8 of 9 performance categories - including talent quality, breadth, productivity, and client experience - according to a top 5 global consulting firm. Across more than 3,000 engagements annually in 6 regions and 4 continents, 93% of clients rate Axiom lawyers as good as or better than top law firm attorneys, with 96% client satisfaction and measurable cost savings that reduce outside counsel spend without sacrificing quality. 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About Axiom: As the leading alternative legal services provider globally, Axiom gives in-house legal teams on-demand access to top legal talent and lawyers - deployed when, where, and how clients need it, for up to 50% less than national law firms. Axiom's network of 14,000+ legal professionals includes 4,000+ lawyers with Fortune 500 experience, delivering AI-enabled legal services across more than 12 practice areas. Trusted by 75% of the Fortune 100 and thousands of mid-market leaders, Axiom ranks #1 among Alternative Legal Service Providers in 8 of 9 performance categories - including talent quality, breadth, productivity, and client experience - according to a top 5 global consulting firm. Across more than 3,000 engagements annually in 6 regions and 4 continents, 93% of clients rate Axiom lawyers as good as or better than top law firm attorneys, with 96% client satisfaction and measurable cost savings that reduce outside counsel spend without sacrificing quality. Stop overpaying for law firm work. Start with Axiom. About the Team: We exist to inject new energy and new thinking into a precedent-bound profession. We love the company we're building with undignified enthusiasm. We're committed to our mission and to our people. We celebrate our successes, learn from our failures, and find opportunity in adversity. 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Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. 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Large-scale language models are rapidly advancing, and their ability to handle rigorous proof-based reasoning depends on high-quality mathematical training data. With your advanced expertise, tomorrow's AI can better understand abstraction, logic, measure theory, homotopy, and the deep structures of modern mathematics. That training data begins with you - your insight will help power the next generation of AI. We're looking for specialists with deep foundations in pure mathematics who can engage with advanced topics across probability theory, measure theory, real and functional analysis, optimization, abstract algebra, and category theory. Coupled with this deep foundation, we need each expert to have a normalized fluency in Lean 4, the proof assistant and programming language. On a typical day, you will construct and evaluate complex proofs, substantiate the mathematical reasoning for correctness and rigor while identifying subtle conceptual or logical failures, and translate this material to successfully build in .lean syntax. You will also collaborate with our team to refine prompts, evaluation frameworks, and mathematical reasoning benchmarks, enhancing the overall quality of our operations. Candidates fluent in Lean 4 with an in-progress or freshly earned PhD or current PostDoc experience in pure mathematics are ideal. 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Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. 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Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. 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This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Duties ****Duties and responsibilities vary and may increase according to grade level**** Plan and carry out the collection and analysis of information, data and standards used by the assigned organization to perform mathematics tasks. Carry out special projects designed to facilitate the full use of the interns training and development. Keep abreast of emerging technologies and professional developments to maintain current in the field and for application to work assignments. Perform scientific work in the field of mathematics in support of conventional projects, or portions of larger projects and programs under the guidance of a senior mathematician or scientist. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcripts with the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. 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