You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with Claude Code, the Claude API, and Claude for Enterprise

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel frequently to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• TS/SCI clearance required

• Must have prior experience working with US national security (defense and/or intelligence) agencies

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Experience navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiar with Python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

The annual compensation range for this role is $240,000-$270,000 USD.

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

Visa sponsorship: We do sponsor visas! However, we aren'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.

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.

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're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

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.

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-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered 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

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Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly require you to interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

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To be successful in this role, you will need a Bachelor's degree in a related field such as Computer Science, Data Analytics, Education, or similar. You will also need 2-4 years of technical instruction or related experience. You will love teaching and creating those lightbulb moments for learners. You will create learning environments with high levels of engagement. You will be laser-focused on learner and customer outcomes while adjusting instruction on the fly. You will believe teaching is a craft that we can always get better at and actively seek out feedback. You will communicate clearly and concisely with internal and external stakeholders. You will thrive in an environment of cross-collaboration that moves quickly. You will have experience developing curricula and shipping courses fast.

What will make you stand out? You have worked on customer education/training teams and know how training can drive outcomes for customers. You have experience using dbt and/or teaching dbt. You have experience writing analytics code (i.e., Python, R, etc.) in addition to SQL and working with databases. You have experience designing curricula with a focus on backwards design. You have a dbt Fundamentals badge.

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We are looking for a highly effective leader to lead a team of Account Executives primarily responsible for new business revenue in the North America Region. This person will be responsible for segment strategy and planning, building, and running a high performing team. Goals are focused on accelerating logo and revenue growth with a concentration on Fin.

Responsibilities:

• Sales Strategy Execution:

Work with senior leadership to define and implement effective sales strategies for the North American mid-market segment. Oversee the development of sales plans and tactics that align with company goals and regional market dynamics. Monitor the pipeline of opportunities to ensure timely and effective follow-ups, deal closures, and revenue growth.

• Performance Management:

Set clear performance expectations and key performance indicators (KPIs) for the Account Executive team. Track individual and team performance using CRM tools and reporting dashboards. Analyze sales metrics and provide insights to optimize processes, identify trends, and forecast revenue.

• Cross-Functional Collaboration:

Partner with marketing, product, and customer success teams to develop tailored go-to-market strategies and ensure seamless customer experiences. Work closely with senior leadership to ensure alignment on goals, budgets, and resource allocation.

• Customer Focus:

Maintain a strong understanding of customer needs and market trends to support the team in closing deals Ensure customers are handed off to the Relationship Management team thoughtfully and carefully, always keeping the customer experience top of mind.

• Reporting & Analytics:

Regularly report on team performance, sales pipeline, and market conditions to senior management. Provide data-driven recommendations to improve sales performance and achieve growth targets.

Requirements:

• 5+ years in a quota carrying new business IC role with proven success
• Experience working on complex and strategic deals (involving procurement, legal, security)
• 3+ years management experience
• Previous experience building and executing on outbound sales motions
• Exemplary new business sales experience, experience with Command of the Message and MEDDPICC a plus
• Strong understanding of forecasting principles and the ability to forecast revenue and revenue trends accurately
• Proven experience–and passion for–teaching and developing top talent
• Experience developing GTM strategy, building, and executing operational plans
• A builder of businesses, with the ability to attract and develop the best talent in the industry
• Excellent communication skills across a variety of mediums (written, verbal, presentation, and interpersonal)
• Adaptive, with the ability to balance short term and long term priorities

Benefits:

• Competitive salary and meaningful equity
• Comprehensive medical, dental, and vision coverage
• Regular compensation reviews - great work is rewarded!
• Flexible paid time off policy
• Paid Parental Leave Program
• 401k plan & match
• In-office bicycle storage
• Fun events for Intercomrades, friends, and family!

OTE Range: $233,505 - $314,438 for the Greater Chicago Area.

Policies:

• Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
• We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native German speaker with fluent English proficiency

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Annual Salary: €190,000-€215,000 EUR

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

Visa sponsorship: We do sponsor visas! However, we aren'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.

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.

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're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

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.

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-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered 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

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In this role, you will contribute rigorous technical accounting analysis, clear written explanations, and sound professional judgment that help train AI models to address complex, non-routine accounting issues.

Working closely with engineering and research teams, you will evaluate sophisticated accounting scenarios and guide how AI systems interpret and apply authoritative U.S. GAAP, SEC guidance, and company-level accounting policy considerations.

Your contributions will directly impact the accuracy, consistency, and reliability of AI-generated accounting conclusions.

You will draw on hands-on experience across technical financial reporting areas,such as revenue recognition, business combinations, consolidations, equity compensation, leases, financial instruments, and disclosures,to analyse challenging fact patterns similar to those encountered in Big 4 engagements, national office consultations, or technical accounting memo development.

This role is well suited for technical accounting professionals who thrive in fast-paced, intellectually demanding environments and are comfortable working with evolving prompts, guidance, and objectives.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.

• Support and ensure the delivery of high-quality curated data.

• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.

• Interact with the technical staff to help improve the design of efficient annotation tools.

• Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.

• Regularly interpret, analyse, and execute tasks based on given instructions.

Basic Qualifications:

• Experience in technical accounting, audit, or accounting advisory roles within a public accounting firm or specialised accounting advisory practice, with exposure to complex GAAP and SEC-reporting environments.

• Demonstrated ability to research and apply U.S. GAAP and other authoritative guidance to non-routine or judgment-intensive accounting issues.

• Strong written communication skills in English, with the ability to document accounting conclusions clearly and logically.

• Proficiency in navigating authoritative accounting resources, including FASB Codification, SEC EDGAR, public-company filings, and accounting policy documentation.

• Strong analytical judgment and the ability to reach defensible accounting conclusions in situations involving ambiguity or incomplete information.

• Interest in applying technical accounting expertise to emerging technologies and AI-driven accounting analysis.

Preferred Skills and Experience:

• CPA license in good standing.

• Experience in national office, technical accounting advisory, or SEC-focused roles, including ownership of complex or novel accounting issues.

• Demonstrated leadership in developing, reviewing, or approving technical accounting memoranda, accounting policies, or position papers for significant transactions or reporting matters.

• Deep familiarity with SEC disclosure requirements, including hands-on review of 10-K/10-Q footnotes, critical accounting policies, or MD&A from a technical accounting perspective.

• Teaching, training, or mentoring experience in advanced or technical accounting topics, including firm-level technical training or academic instruction.

• Contributions to professional thought leadership, such as publications, presentations, or firm-issued accounting guidance.

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.

On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.

Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• 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.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.

International candidates: Information will be provided to you during the recruitment process.

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.

Specific details and role specific information will be provided to you during the interview process.

xAI is an equal opportunity employer.

For details on data processing, view our Recruitment Privacy Notice.

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You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives.

Your responsibilities include refining annotation tools and selecting complex problems from advanced Earth Science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.

• Support and ensure the delivery of high-quality curated data.

• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.

• Interact with the technical staff to help improve the design of efficient annotation tools.

• Solve problems that help drive innovation in Earth Science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.

• Choose problems from various fields across Earth Science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.

• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in earth science, geophysics, oceanography, atmospheric science, or a highly related field.

• Expertise and specialization in an Earth Science subdomain, including but not limited to oceanography, geophysics, geochemistry, atmospheric science, geology, seismology.

• Proficiency in reading and writing, both in informal and professional English.

• Strong ability to navigate various information resources, databases, and online resources is essential.

• Outstanding communication, interpersonal, analytical, and organizational capabilities.

• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in earth science, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.

• Previous AI Tutoring experience.

• Teaching experience (as a professor, teacher, or tutor).

• Experience in technical writing, journalism, or a professional writing setting.

Location and Other Expectations:

• This position is based in Palo Alto, CA, or fully remote.

• The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.

• If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.

• For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.

International candidates: Information will be provided to you during the recruitment process.

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.

Specific details and role specific information will be provided to you during the interview process.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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This includes managing M&A processes, analysing industry trends, assessing competitive landscapes, identifying investment opportunities, and supporting marquee fundraising initiatives. This person will work cross-functionally with a variety of stakeholders at all levels of CoreWeave and have frequent opportunities to interact with and support key executive-level decision makers.

Optimally, this person will have previous experience with generative AI, technology, digital infrastructure, cloud infrastructure, data centres or similar verticals.

Key Responsibilities:

• Identify and evaluate M&A and direct investment opportunities based on industry knowledge, market situation, and financial analysis

• Develop, maintain, and analyse complex financial models to support M&A transactions, strategic investments, and other strategic initiatives

• Assist in all phases of transaction execution, including due diligence, valuation, documentation, and integration planning

• Collaborate with internal stakeholders, including finance, legal, operations, and senior executives to ensure alignment and successful execution of deals

• Support Strategic Finance, Investor Relations, Treasury, and FP&A on cross-functional Ad Hoc finance projects

• Assist in the preparation of company management presentations that deliver CoreWeave's investment thesis and growth strategy to external stakeholders

• Conduct comprehensive due diligence on M&A and investment targets, including financial, and operational analysis

• Monitor industry trends, competitive landscape, and market dynamics to identify opportunities and threats

• Collaborate with CDO, CSO and CFO to assist with highly impactful, complex, and visible projects, including scaled, complex equity and debt fundraising initiatives

• Complete special strategic projects and ad hoc modelling for senior executives as needed, such as projects regarding international expansion and JV partnerships

Who You Are:

• A bachelor's degree in finance, accounting, applied mathematics, economics, engineering, or an equivalent combination of education and experience

• Minimum of 2+ year(s) of experience in investment banking, private equity, private credit or similar roles

• Advanced analytical skills with an ability to perform quantitative and qualitative analysis on new ideas and concepts

Preferred:

• Excellent financial modelling and valuation skills, with a demonstrated track record of executing complicated financial analyses

• Effective verbal and written communication skills, with a preference for candidates that have demonstrably interacted with management or other executive-level stakeholders

• High level of self-sufficiency with proven success at self-teaching and a high intellectual motor

• Strong analytical, quantitative, and problem-solving skills

• Exceptional attention to detail, organisational skills, and ability to manage multiple competing priorities simultaneously

• Advanced proficiency with Microsoft Office Suite, particularly Excel and PowerPoint

• Understanding of M&A processes for both public and private transactions, including deal sourcing/structuring, due diligence, and execution, with a proven track record of contributing to closed deals

• Experience with modelling debt transactions (e.g., leveraged buyout models and private/public credit) preferred

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

• You love digging into complex financial problems and solving them with precision.

• You're curious about how AI, cloud, and digital infrastructure are reshaping the global economy.

• You're an expert in financial modelling, valuation, and supporting high-impact transactions.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $125,000 to $155,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits programme (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance

• 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Programme (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data centre locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, colour, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities

• Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences across Japan
• Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

Requirements

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Native-level Japanese fluency and business-level English required
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Comfortable with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly require you to interpret, analyse, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Possess a PhD in Industrial or Systems Engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as an industrial or systems engineer.

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. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• 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.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

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. Specific details and role specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced space science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

The AI Tutor - Space Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

Responsibilities

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in space science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across space science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications

• Master’s or PhD in astrophysics, astronomy, physics, or a highly related field.
• Expertise and specialization in a space science subdomain, including but not limited to galactic astronomy, extragalactic astronomy, observational astronomy, stellar astrophysics, high-energy astrophysics, cosmology, planetary science, earth sciences, astroparticle physics, general relativity, and interdisciplinary space sciences.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience

• Advanced expertise in physics, astronomy, or astrophysics, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

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. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.
• 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.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. 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. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

XML job scraping automation by YubHub

You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create complex problems from advanced pure math topics to boost performance.

Key responsibilities include:

• Using proprietary software applications to provide input/labels on defined projects.
• Supporting and ensuring the delivery of high-quality curated data.
• Playing a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interacting with the technical staff to help improve the design of efficient annotation tools.
• Choosing problems from pure math subdomains that align with your expertise, focusing on areas like abstract algebra, real/complex analysis, topology, graph theory, and so on where you can confidently provide detailed solutions and evaluate model responses.

To succeed in this role, you'll need:

• A Master's or PhD in Mathematics with a specialization in a subdomain of pure mathematics, or a medal in an International Math Olympiad (IMO) or similar level math competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred skills and experience include:

• Math PhD with a specialization in a subdomain of pure mathematics.
• Peer-reviewed pure math publications in well-regarded journals.
• Previous AI Tutoring experience and/or experience teaching college courses.

As a remote worker, you'll have the flexibility to set your own hours and determine the exact amount of time needed to complete deliverables. Compensation ranges from $45/hour to $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. Benefits vary based on employment type, location, and jurisdiction.

XML job scraping automation by YubHub

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced physics fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in physics by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across physics that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in physics or a highly related field.
• Expertise in one or more subdomains of physics, including but not limited to: condensed matter physics, high energy physics, nuclear physics, atomic/molecular/optical physics, quantum computing and information, computational physics, mathematical physics, and interdisciplinary physics (such as biophysics).
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in physics, demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

XML job scraping automation by YubHub

Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.

XML job scraping automation by YubHub

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced space science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

The AI Tutor - Space Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in space science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across space science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in astrophysics, astronomy, physics, or a highly related field.
• Expertise and specialization in a space science subdomain, including but not limited to galactic astronomy, extragalactic astronomy, observational astronomy, stellar astrophysics, high-energy astrophysics, cosmology, planetary science, earth sciences, astroparticle physics, general relativity, and interdisciplinary space sciences.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in physics, astronomy, or astrophysics, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

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.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. 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. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

XML job scraping automation by YubHub

You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Key responsibilities include:

• Strategic Technical Partnership: Providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities.

• Joint Solution Development: Collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures/best practices to accelerate time to deployment.

• Customer Deal Support: Intervening directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Representing Anthropic at partner events, leading or supporting partner-specific developer events, hackathons, and technical enablement sessions.

• Product Feedback: Validating and gathering feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and delivering this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

This role requires 5+ years of experience in technical customer-facing/partner-facing roles, a track record of successfully partnering with GSIs and/or cloud providers, and exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders.

The annual compensation range for this role is $255,000-$345,000 USD.

XML job scraping automation by YubHub

The ideal candidate has a track record of exceeding revenue goals, leading sales professionals to be their best selves, and is comfortable in a complex, technical sales environment.

Key responsibilities include:

• Drive revenue success: Own and exceed quarterly/annual sales targets.
• Build and implement strategic plans: Develop and execute evolving revenue plans and growth tactics.
• Build and manage the team: Hire, manage, and motivate a growing team of sales executives; coach each member via joint selling and regular pipeline reviews.
• Build trust-based relationships: Develop long-term relationships with employees, partners, and cross-functional teams.
• Distill customer needs and value: Enable your team to understand customer goals and how they relate to the Databricks value proposition.
• Manage the front-line voice of Databricks: Lead your team to effectively communicate the value proposition through proposals and presentations.

Requirements include:

• 10+ years of successful, progressive experience in enterprise software sales, including Director-level experience at a reputable organization, ideally within Financial Services.
• In-depth knowledge of how software is positioned and sold to IT and/or Data executives, ideally within the insurance, wealth & asset management verticals.
• Strong track record of exceeding company sales quotas in a complex sales environment.
• A background in hiring, leading, and retaining high-performing account executives.
• Proven experience with teaching, coaching, and training sales methodologies.
• Excellent C-level communication skills.
• Proven leadership ability to influence, develop, and empower employees to achieve objectives.
• Contract negotiation and deal forecasting experience.
• Strong written, verbal, presentation, and organizational skills required, with the ability to articulate and evangelize the value of Databricks solutions.
• Passionate about Big Data, AI, Spark, and cloud technologies.
• Willingness to travel as needed within the Northeast/New England region.
• Bachelor’s Degree required.

XML job scraping automation by YubHub

You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.

Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

XML job scraping automation by YubHub

Your responsibilities will include:

• Using proprietary software applications to provide input/labels on defined projects.
• Supporting and ensuring the delivery of high-quality curated data.
• Playing a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interacting with the technical staff to help improve the design of efficient annotation tools.
• Helping democratize access to medical information for users worldwide.
• Solving problems that help drive innovation in healthcare by guiding Grok to enhance medical care quality, optimize clinical decision-making, accelerate pharmaceutical discovery, advance diagnostic imaging, and streamline medical procedures to transform patient outcomes.

To be successful in this role, you will need to have:

• A strong background in medicine, such as an MD, DO, NP, PharmD, DDS, DMD, or a Master's or PhD in a related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred skills and experience include:

• Experience with multiple publications or a first-authorship in a reputable journal or outlet.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Technical writing, journalism, or a professional writing setting experience.

Additional requirements include being available to work evenings and weekends, having a strong capacity to quickly adapt by learning new skills and unlearning outdated ones, and having a computer that meets the specified requirements.

XML job scraping automation by YubHub

Responsibilities: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: Must possess a Master's or PhD in Mechanical Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Possess a PhD in Mechanical Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a mechanical engineer.

XML job scraping automation by YubHub

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced materials science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

The AI Tutor - Materials Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in materials by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across materials science that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in materials science, physics, chemistry, chemical engineering, or a highly related field.
• Expertise and specialization in a materials-related subdomain, including but not limited to energy materials, semiconductors, nanomaterials, metals, alloys, biomaterials, polymers, elastomers, ceramics, or glasses.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in materials science, demonstrated by multiple publications, or patents, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

XML job scraping automation by YubHub

You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).

This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.

Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.

Responsibilities:

• Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects
• Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards
• Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks
• Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools
• Select and solve challenging problems from financial risk domains where you have deep expertise

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant
• Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)
• Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)
• Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data

Preferred Skills and Experience:

• Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm
• Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance
• Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)
• Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)
• Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)
• Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)
• CFA, FRM, PRM, CQF, or similar risk-focused certifications
• Previous exposure to large language models, AI safety, or quantitative evaluation pipelines

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
• For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements

XML job scraping automation by YubHub

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. As an AI expert, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a PhD in Economics or related field.
• Proficiency in reading and writing, both in informal and professional English.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation in economics.

Preferred Skills and Experience:

• Possesses experience with at least one publication in a reputable economics journal or outlet.
• Teaching experience as a professor.

XML job scraping automation by YubHub

This role involves collaborating closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced Earth Science fields to drive significant improvements in model performance.

This opportunity demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in Earth Science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across Earth Science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Master’s or PhD in earth science, geophysics, oceanography, atmospheric science, or a highly related field.
• Expertise and specialization in an Earth Science subdomain, including but not limited to oceanography, geophysics, geochemistry, atmospheric science, geology, seismology.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in earth science, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

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Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Possesses experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as a Data Scientist

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The ideal candidate will possess a Master's or PhD in Civil or Environmental Engineering, or a highly-related field. You will have strong communication, interpersonal, analytical, and organizational capabilities, as well as solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

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. On average, most projects may involve at least 10 hours per week to achieve deliverables effectively.

Compensation and benefits vary based on employment type, location, and jurisdiction. US-based candidates can expect to earn between $45/hour and $75/hour, depending on factors including relevant experience, skills, education, geographic location, and qualifications.

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You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced chemical sciences to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

The AI Tutor - Chemistry Specialist role is a remote full-time or part-time position.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.

• Support and ensure the delivery of high-quality curated data.

• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.

• Collaborate with the technical staff to enhance the design of efficient annotation tools.

• Solve problems that help drive innovation in chemical sciences by guiding AI models to enhance research in specialised areas, improving outcomes in scientific discovery and application.

• Choose problems from fields across chemistry that align with your expertise in specialised subdomains, including, but not limited to, organic chemistry, physical chemistry, analytical chemistry, inorganic chemistry, computational chemistry, polymer chemistry, nuclear chemistry, or medicinal chemistry, where you can confidently provide detailed solutions and evaluate model responses.

• Regularly interpret, analyse, and execute tasks based on given instructions.

Basic Qualifications:

• Master’s or PhD in a chemistry-related field.

• Expertise in chemistry-related subdomains, including, but not limited to, Organic Chemistry, Physical Chemistry, Analytical Chemistry, Inorganic Chemistry, Organometallic Chemistry, Biochemistry, Nuclear Chemistry, Computational/Theoretical Chemistry, Polymer/Materials Chemistry, Medicinal Chemistry, Catalysis, Surface/Colloid Chemistry, or Drug Discovery.

• Proficiency in reading and writing, both in informal and professional English.

• Strong ability to navigate various information resources, databases, and online resources is essential.

• Outstanding communication, interpersonal, analytical, and organisational capabilities.

• Solid reading comprehension skills combined with the capacity to exercise autonomous judgement even when presented with limited data/material.

• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Advanced expertise in chemistry, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals.

• Previous AI Tutoring experience.

• Teaching experience (as a professor, teacher, or tutor).

• Experience in technical writing, journalism, or a professional writing setting.

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Key responsibilities include:

• Providing input/labels on defined projects using proprietary software applications.
• Supporting and ensuring the delivery of high-quality curated data.
• Contributing to the training of new tasks, working closely with technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interacting with technical staff to help improve the design of efficient annotation tools.
• Regularly interpreting, analysing, and executing tasks based on given instructions.

A Master's or PhD in Chemical Engineering, or a highly-related field, is requires. Proficiency in reading and writing, both in informal and professional English, is also necessary. Strong communication, interpersonal, analytical, and organisational capabilities are essential.

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.

XML job scraping automation by YubHub

As a Biology Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software.

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced biological fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

Responsibilities

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in life sciences by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from fields across biology, biotechnology and life sciences that align with your expertise in specialized subdomains such as genomic analysis, evolutionary biology, or drug discovery, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Qualifications

• Master’s or PhD in a biology-related field.
• Expertise in one or more of the following: Genetics, Genomics, Developmental Biology, Systems Biology, Physiology and Anatomy, Evolution, Microbiology, Plant Biology, Zoology and Animal Biology, Marine Biology and Oceanography, Epidemiology, Biostatistics, Public Health, Pharmacology, Toxicology and Drug Discovery.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience

• Advanced expertise in biology, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

XML job scraping automation by YubHub

Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies , including on-chain analysis, DeFi protocols, perpetual futures & derivatives trading, cross-exchange arbitrage, market microstructure in fragmented venues, MEV-aware execution, machine learning for crypto alpha signals, and portfolio/risk management in high-volatility 24/7 markets.

This role demands sharp quantitative thinking, quick adaptation to evolving instructions, and the ability to deliver precise, technically robust critiques and solutions in a dynamic environment.

Responsibilities:

• Utilize proprietary software to deliver accurate labels, rankings, critiques, and in-depth solutions on assigned projects
• Consistently produce high-quality, curated data adhering to rigorous technical and domain standards
• Partner with engineers and researchers to iterate on new training tasks, evaluation frameworks, and crypto-specific benchmarks
• Offer actionable feedback to enhance the efficiency, accuracy, and usability of annotation and data-collection interfaces
• Identify and solve challenging problems from crypto & digital asset domains where you have strong expertise , examples include:

• On-chain metrics analysis and wallet/flow clustering for alpha generation
• DeFi yield farming, liquidity provision, and impermanent loss modeling
• Cross-exchange / CEX-DEX arbitrage and triangular opportunities
• Perpetual futures funding rate strategies and basis trading
• Market microstructure in crypto order books (fragmented liquidity, MEV, sandwich attacks)
• Machine learning models for price prediction, sentiment from social/on-chain, volatility forecasting
• Tokenomics evaluation, airdrop/IDO quantitative assessment, and risk premia in altcoins
• Portfolio optimization and risk management in 24/7 high-volatility environments

• Provide rigorous critiques of model outputs, alternative quantitative approaches, mathematical derivations, code snippets, and step-by-step crypto reasoning
• Efficiently interpret, analyze, and complete tasks based on detailed (and evolving) guidelines

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Computer Science (with crypto/blockchain focus), Statistics, Applied Mathematics, Economics (quantitative), Physics, Operations Research, Data Science, or closely related field or equivalent professional experience as a quantitative crypto trader, systematic strategist, or on-chain analyst
• Superior written and verbal English communication (technical papers, explanatory breakdowns, professional correspondence)
• Extensive hands-on familiarity with crypto data sources and tools (CoinGecko, CoinMarketCap, Dune Analytics, Glassnode, Nansen, Chainalysis, Messari, DefiLlama, The Graph, blockchain explorers, CEX APIs, on-chain datasets, etc.)
• Outstanding analytical skills, attention to detail, and sound judgment under partial information

Preferred Skills and Experience:

• Professional experience in quantitative crypto trading, systematic strategies, or on-chain research at a crypto hedge fund, prop desk, market-making firm, DeFi protocol, or digital asset investment firm
• Publications or public analyses in crypto quant topics (e.g., journals, conferences, reputable blogs, GitHub repos with notable traction)
• Teaching, mentoring, or content-creation experience in crypto/quant finance (university, bootcamps, Twitter threads, newsletters)
• Proficiency in Python for crypto analysis (pandas, NumPy, ccxt, web3.py, etherscan APIs, polars, scikit-learn, PyTorch/TensorFlow for ML models, etc.) and/or Rust/Solidity familiarity
• Experience with backtesting crypto strategies, handling tick-level or on-chain data, managing API rate limits, and dealing with 24/7 market quirks
• Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena
• CFA, FRM, CQF, or blockchain-specific certifications (e.g., Certified Blockchain Expert)
• Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts (strong plus)

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. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.
• 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.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: $25/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.

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In this role, you will contribute rigorous technical accounting analysis, clear written explanations, and sound professional judgment that help train AI models to address complex, non-routine accounting issues.

Working closely with engineering and research teams, you will evaluate sophisticated accounting scenarios and guide how AI systems interpret and apply authoritative U.S. GAAP, SEC guidance, and company-level accounting policy considerations.

Your contributions will directly impact the accuracy, consistency, and reliability of AI-generated accounting conclusions.

You will draw on hands-on experience across technical financial reporting areas,such as revenue recognition, business combinations, consolidations, equity compensation, leases, financial instruments, and disclosures,to analyze challenging fact patterns similar to those encountered in Big 4 engagements, national office consultations, or technical accounting memo development.

This role is well suited for technical accounting professionals who thrive in fast-paced, intellectually demanding environments and are comfortable working with evolving prompts, guidance, and objectives.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Experience in technical accounting, audit, or accounting advisory roles within a public accounting firm or specialized accounting advisory practice, with exposure to complex GAAP and SEC-reporting environments.
• Demonstrated ability to research and apply U.S. GAAP and other authoritative guidance to non-routine or judgment-intensive accounting issues.
• Strong written communication skills in English, with the ability to document accounting conclusions clearly and logically.
• Proficiency in navigating authoritative accounting resources, including FASB Codification, SEC EDGAR, public-company filings, and accounting policy documentation.
• Strong analytical judgment and the ability to reach defensible accounting conclusions in situations involving ambiguity or incomplete information.
• Interest in applying technical accounting expertise to emerging technologies and AI-driven accounting analysis.

Preferred Skills and Experience:

• CPA license in good standing.
• Experience in national office, technical accounting advisory, or SEC-focused roles, including ownership of complex or novel accounting issues.
• Demonstrated leadership in developing, reviewing, or approving technical accounting memoranda, accounting policies, or position papers for significant transactions or reporting matters.
• Deep familiarity with SEC disclosure requirements, including hands-on review of 10-K/10-Q footnotes, critical accounting policies, or MD&A from a technical accounting perspective.
• Teaching, training, or mentoring experience in advanced or technical accounting topics, including firm-level technical training or academic instruction.
• Contributions to professional thought leadership, such as publications, presentations, or firm-issued accounting guidance.

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.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. 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. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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Working in close collaboration with technical and research teams, you will evaluate sophisticated tax scenarios and guide how AI systems interpret and apply statutory authority, Treasury Regulations, IRS guidance, and judicial precedent. Your contributions will directly influence the accuracy, consistency, and interpretive quality of AI-generated tax conclusions.

You will draw on specialized expertise in individual, partnership, or corporate taxation to identify and analyze challenging tax issues comparable to advanced tax coursework, technical tax research, or professional practice analysis. This includes resolving ambiguous fact patterns, weighing alternative positions, and clearly articulating defensible tax treatments.

This role is well suited for tax professionals and educators who thrive in intellectually dynamic environments and are comfortable engaging with evolving prompts, frameworks, and research objectives. Success requires the ability to exercise professional judgment under uncertainty, communicate tax reasoning with precision, and adapt to iterative guidance, similar to developing tax policy analyses, teaching advanced tax concepts, or responding to changes in tax law and interpretation.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• 3+ years of professional experience in taxation, gained through public accounting, national or regional tax practices, specialized advisory firms, or comparable industry roles, with specialization in individual, partnership, or corporate taxation.
• Demonstrated ability to analyze income tax issues, including evaluating complex fact patterns, interpreting statutory and regulatory authority, and applying sound professional judgment.
• Strong written communication skills in English, with the ability to produce clear, well-reasoned tax analyses, such as technical memoranda, research summaries, or instructional explanations.
• Proficiency in navigating authoritative tax resources, including the Internal Revenue Code, Treasury Regulations, IRS guidance, court decisions, and professional tax research platforms.
• Strong analytical skills and the ability to reach defensible tax conclusions in situations involving ambiguity, incomplete facts, or competing interpretations of tax law.
• Interest in applying tax expertise to emerging technologies and AI-driven tax analysis.

Preferred Skills and Experience:

• CPA license in good standing
• Advanced experience in one or more of the following areas:
• Corporate tax (e.g., ASC 740, mergers and acquisitions, international tax concepts)
• Partnership tax (e.g., Subchapter K, allocations, basis, restructurings)
• Individual tax (e.g., high-net-worth individuals, flow-through entities, planning considerations)
• Experience drafting or reviewing technical tax memoranda, tax planning analyses, or tax controversy positions.
• Familiarity with financial reporting for income taxes (ASC 740) and the interaction between tax and financial reporting.
• Teaching, training, or mentoring experience in taxation topics, such as Individual, Partnership, or Corporate Tax, or Tax Research.
• Contributions to professional thought leadership, including publications, presentations, firm guidance, or externally published tax commentary.

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. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.
• 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.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. 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. Specific details and role specific information will be provided to you during the interview process.

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In this role, you will contribute high-quality accounting analysis, explanations, and evaluations that support the training of AI models on complex accounting concepts.

Working in close collaboration with technical and research teams, you will help shape new AI capabilities by evaluating sophisticated accounting scenarios and guiding how models reason through them.

You will draw on deep knowledge of financial reporting, consolidations, internal controls, and U.S. GAAP to identify and analyze challenging accounting problems comparable to upper-division or graduate-level coursework.

Your input will directly influence how effectively AI systems interpret accounting standards and communicate sound accounting judgments.

This role is well suited for faculty who thrive in intellectually dynamic environments and are comfortable engaging with evolving prompts, frameworks, and research objectives.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• PhD or DBA in Accounting, or a Master’s degree in Accounting combined with a CPA license and substantial professional experience.
• Ability to analyze and explain complex GAAP issues clearly and rigorously, consistent with upper-division or graduate-level instruction.
• Strong written communication skills in English, with the ability to articulate accounting judgments in both formal, technical contexts and instructional explanations.
• Familiarity with authoritative accounting and financial reporting resources, such as FASB Codification, SEC EDGAR, and public-company financial statements.
• Excellent analytical judgment, intellectual curiosity, and capacity to reason independently in situations involving ambiguity or incomplete information.
• Demonstrated interest in emerging technologies and innovation in accounting education, research, or practice.

Preferred Skills and Experience:

• Demonstrated expertise in corporate financial accounting and reporting, grounded in professional practice within public accounting or SEC-reporting organizations, with experience addressing complex transactions, consolidations, or judgment-intensive accounting matters.
• Experience authoring or reviewing technical accounting analyses, including research memoranda, disclosure analyses, or case-based materials.
• Peer-reviewed publication(s) in academic or practitioner-oriented accounting journals, or comparable scholarly output.
• Teaching experience at the undergraduate or graduate level in financial accounting, intermediate/advanced accounting, auditing, or related subjects.

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.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. 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. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software.

You will collaborate closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).
• Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred Skills and Experience:

• 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.
• Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.
• Possesses experience with at least one publication in a reputable accounting journal or outlet.
• Teaching experience as a professor

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.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. 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. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

XML job scraping automation by YubHub

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

XML job scraping automation by YubHub

The Inpatient Palliative Care team collaborates closely with hospital-based care providers to educate, guide, and offer resources to patients living with serious illness. Serving as a key link between patients, families, and available services, the team helps improve communication and symptom management, delivers emotional and spiritual support, and facilitates seamless transitions of care.

As the program continues to grow, the Inpatient Palliative Care team is seeking an experienced Registered Nurse (RN) to join the team as a Nursing Coordinator. In this role, the Coordinator will partner with inpatient units and hospital departments to build strong relationships, provide education on palliative care at both the unit and organizational level, and help coordinate programs and initiatives that enhance transitions of care

The ideal candidate will be a licensed Registered Nurse with at least five years of professional nursing experience. Success in this role requires confidence, strong emotional intelligence, excellent listening skills, and effective communication.

This position is based on-site at UNC Medical Center in Chapel Hill and works Monday–Friday, 9:00 AM to 5:00 PM, with no weekends, holidays, or on-call required.

Become part of an inclusive organization with over 40,000 teammates, whose mission is to improve the health and well-being of the unique communities we serve.

Summary:

Provides clinical administrative nursing care coordination in support of a patient care area. Duties include one or more of the following care coordination, discharge planning, data analysis and performance metrics, and patient/staff education.

Responsibilities:

1. Assesses patient status of a specialized population. Rounds with an interdisciplinary health care team to determine patient care needs and coordinate ongoing acute care and long-term needs. Uses expertise and experience in specialty practice to facilitate patient care. Acts as a liaison between the patient, family and health care team to communicate patient care needs including coordination of patient/family care conferences.

2. Collaborates with health care team to provide information and resources to facilitate patient care. Provides inservices and formal presentations to nursing, medical and ancillary staff on topics related to the specialized patient population. Assist staff in the development of patient education materials for the patient population. Perform patient teaching related to specific topics and patient needs. Documents patient teaching in the medical record in the appropriate sections

3. Collects data related to specialized patient population and analyzes for trends. Enters data or coordinates its entry into databases and registries for benchmarking purposes. Participates in performance improvement activities to promote quality patient care. Analyzes data for trends and makes suggestions for revisions to patient care protocols for the patient population. Monitors outcomes of care for patient population and collaborates with the interdisciplinary health care team on evaluation of outcomes.

4. Coordinates patient care for post-hospitalization care and discharge planning. Makes referrals to other care providers during acute care episode and for post-discharge care. Communicates discharge needs to interdisciplinary health care team, patient and family. Coordinates appointments with clinics, outside referral sources, home care, durable medical equipment providers and other providers to ensure continuity of care for the patient. Attends care conferences and interdisciplinary care rounds. Documents care planning and communication with health care providers in the medical record.

5. Promotes own professional development through attending inservices and presentations. Keeps current in practice through conferences, reading current literature and research. Role models professional nursing practice to others through use of the nursing process and professional behaviors

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You will provide initial wound care to the patients' surgical site and ensure patient stability during recovery. You will collaborate with the surgical and anesthesia team. This role includes on-call availability during select non-business hours which will be discussed in the interview.

To deliver care and create a therapeutic environment for patients and families whose needs range from basic to complex by utilizing the nursing process. To carry out functions in a manner consistent with Performance Improvement and in accordance with hospital policies and procedures. To demonstrate clinical excellence through proficient practice which enhances and enriches the practice environment.

Proficiency is evidenced by adeptness, facility, aptitude, ease and skill in managing complexity and uncertainty.

Responsibilities:

• Assess patients' physical and psychosocial status based on interview, examination and review of clinical data.
• Assess potential for crisis situations and intervene before crisis situation develops with adeptness, facility, aptitude, ease and skill in managing complexity and uncertainty.
• Reassess patient status at established time frames and as indicated by the patient's condition.
• Based on assessment, analyzes relevant patient data and identifies nursing diagnoses/patient care problems.
• Communicates patient status and assessed needs to members of multidisciplinary team.
• Develops an individualized plan of care, including developmental and cultural needs, in collaboration with the patient, family and interdisciplinary team.
• Reviews and updates plan of care as needed.
• Acts as a resource to others in developing and implementing plan of care.
• Uses the nursing process as a basis for developing, implementing and evaluating nursing interventions.
• Provides patient-centered care with sensitivity and respect for the wealth of human experience.
• Performs technical skills as needed by specific clinical unit safely and competently.
• Coordinates and implements the medical diagnostic and therapeutic orders as directed.
• Anticipates and manages complications of disease progression and invasive procedures.
• Documents plan of care, assessments and interventions and patient outcomes in an electronic medical record thoroughly, accurately, and according to CMC Professional Nursing Practice Standards and ANA Scope and Standards of Practice.
• Reports status, including response to care, and changes in status as appropriate.
• Ensures calm, supportive and therapeutic environment for patients and their families, serving as an advocate when appropriate.
• Adheres to all safety, organizational and ethical standards according to ANA Code of Ethics.
• Implements elements of core measures in conjunction with Performance Improvement.
• Identifies current trends which could impact patient outcomes.
• Identifies system resources effectively and allocates them appropriately at the point of care delivery.
• Manages a specific complex clinical procedure common to patients in area of practice, and encourages colleagues to seek her/his guidance in managing the specific procedure/technique throughout the year.
• Employs critical thinking skills to solve problems and achieve patient outcomes
• Identifies & communicates needs for innovative nursing practices.
• Identifies & communicates need for new or revised policies, procedures, guidelines, etc.
• Identifies research as a resource in clinical practice.
• Stays current with new resources/knowledge/evidence
• Serves as a resource/trainer for colleagues regarding competencies, policies and procedures, and clinical practice related to patient population served.
• Utilizes the change process to improve patient care, the work environment, and patient and staff satisfaction.

Minimum Qualifications:

• Licensure/Certification: Current registration in the State of NH as a Registered Nurse.
• Basic Life Support (BLS) certification required.
• Education: Graduate of an accredited school of nursing
• BSN strongly preferred.
• Specialty certification strongly preferred.
• Experience: Minimum of 9 months of nursing experience.

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You'll be a regional advocate and activator for Gamma, responsible for building local presence, hosting events, and creating educational content that helps people in your region discover and master the platform. This is a part-time contractor role designed for someone who's already embedded in their local creator, startup, or education community, and who wants to help shape how Gamma shows up in their market.

You'll work closely with our Community team to identify active users, run workshops or hackathons, produce localized learning resources (including a region-specific Gamma 101 course), and gather feedback that helps us build a better product for your audience. This role is perfect for someone who loves teaching, organizing, and connecting people — and who sees the potential to grow with us as we scale globally.

What you'll do

• Identify and activate Gamma users in your region, building relationships with creators, educators, and early adopters
• Host small-scale in-person or virtual events (workshops, hackathons, meetups) that introduce new users to Gamma and deepen engagement with existing ones
• Develop and deliver localized learning courses on Gamma designed to meet your region's language preferences
• Create region-specific content, templates, and resources that resonate with local audiences
• Manage and grow a regional community platform to foster peer-to-peer learning and collaboration
• Share monthly summaries of engagement highlights, community feedback, and product insights with the Gamma team

What you'll bring

• Proven ability to train or teach — whether through workshops, classrooms, online courses, or community-led learning experiences
• Experience organising events, hackathons, or community gatherings that bring people together and drive real outcomes
• Active involvement in local creator, AI, startup, or education communities—you know the landscape and have credibility in your region
• Comfortable with content creation and social media distribution—you can produce videos, write guides, and share them effectively
• Willingness to record a localized Gamma courses that becomes a go-to resource for new users in your region
• Fluency in the local language(s) of your target region and in English, and cultural fluency that helps you connect authentically with your audience (Nice to have)

If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.

XML job scraping automation by YubHub

You'll be a regional advocate and activator for Gamma, responsible for building local presence, hosting events, and creating educational content that helps people in your region discover and master the platform. This is a part-time contractor role designed for someone who's already embedded in their local creator, startup, or education community, and who wants to help shape how Gamma shows up in their market.

You'll work closely with our Community team to identify active users, run workshops or hackathons, produce localized learning resources (including a region-specific Gamma 101 course), and gather feedback that helps us build a better product for your audience. This role is perfect for someone who loves teaching, organising, and connecting people — and who sees the potential to grow with us as we scale globally.

What you'll do

• Identify and activate Gamma users in your region, building relationships with creators, educators, and early adopters
• Host small-scale in-person or virtual events (workshops, hackathons, meetups) that introduce new users to Gamma and deepen engagement with existing ones
• Develop and deliver localized learning courses on Gamma designed to meet your region's language preferences
• Create region-specific content, templates, and resources that resonate with local audiences
• Manage and grow a regional community platform to foster peer-to-peer learning and collaboration
• Share monthly summaries of engagement highlights, community feedback, and product insights with the Gamma team

What you'll bring

• Proven ability to train or teach — whether through workshops, classrooms, online courses, or community-led learning experiences
• Experience organising events, hackathons, or community gatherings that bring people together and drive real outcomes
• Active involvement in local creator, AI, startup, or education communities—you know the landscape and have credibility in your region
• Comfortable with content creation and social media distribution—you can produce videos, write guides, and share them effectively
• Willingness to record a localized Gamma courses that becomes a go-to resource for new users in your region
• Fluency in the local language(s) of your target region and in English, and cultural fluency that helps you connect authentically with your audience (Nice to have)

If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximise the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Comfortable with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

• Education requirements: We require at least a Bachelor'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
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate
• We encourage you to apply even if you do not believe you meet every single qualification
• Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses

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As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.

You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with Claude Code, the Claude API, and Claude for Enterprise
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel frequently to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• Security clearance not required, but a plus
• Must have prior experience working with US federal agencies
• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Familiar with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Education requirements: We require at least a Bachelor'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. Visa sponsorship: We do sponsor visas! However, we aren'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. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses.

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As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

Strategic Technical Partnership

Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

Joint Solution Development:

Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

Customer Deal Support:

Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

Partner Ecosystem & Events:

Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.

Product Feedback:

Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

Experience designing scalable cloud architectures and integrating with enterprise systems

Familiarity with common LLM frameworks and tools or a background in machine learning or data science

Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

A love of teaching, mentoring, and helping others succeed

Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Education requirements: We require at least a Bachelor'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.

Visa sponsorship: We do sponsor visas! However, we aren'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.

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.

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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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 projects. We're committed to making AI systems that are safe, beneficial, and aligned with human values.

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As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native-level Japanese fluency and business-level English required

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Education requirements: We require at least a Bachelor'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.

Visa sponsorship: We do sponsor visas! However, we aren'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.

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.

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're ever unsure about the authenticity of an email or a phone call, please don't hesitate to reach out to us directly.

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Research Scientist, Mathematical Sciences

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $380K – $445K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights—training data, evaluation methods, and techniques—to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment.

As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster.

About the Role

As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research—in fields such as mathematics, theoretical physics, and theoretical computer science—forward. You’ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact.

We’re looking for people who…

• Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field

• Regularly use frontier models in their own research

• Move easily between theory and code, and are eager to contribute technically as well as academically

• Either know or are eager to learn modern AI and run AI experiments end-to-end

• Are strong scientific communicators

• Care about rigor and reproducibility in scientific results

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

• Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems

• Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based)

• Design reinforcement and grading signals for mathematical sciences and run reinforcement learning/optimization loops to improve model reasoning

• Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time

• Partner with research labs and the academic community

• Drive adoption of frontier AI within the scientific community

• Uphold high standards for safety, data governance, and reproducibility

You might thrive in this role if you

• Are passionate about pushing the boundaries of your field using AI

• Have used ChatGPT to do calculations and prove or improve lemmas in your field of study

• Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia

Nice to have

• Open-source contributions to mathematical science or AI tooling

• Experience building or curating domain datasets and benchmarks

• Experience engaging a research community (teaching, workshops, tutorials, standards)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Research Engineer/Scientist - Generative UI, Consumer Products

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Consumer Products

Compensation

• $380K – $460K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Future of Computing Research team is an Applied Research team focused on developing new methods and models to support our vision for the future of computing as we advance forward in our mission of building AGI that benefits all of humanity.

About the Role

As a Research Engineer/Scientist on the Consumer Products Research team, you will work together with _both_ the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.

This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.

In this role you will:

• Train and evaluate SoTA models along axis that are important to our vision for future devices.

• Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.

• Help define how software works for decades to come.

You might thrive in this role if you:

• Have 5+ years of relevant work experience.

• Have a research background in utilizing and training language models to generate UI, and developing recipes to evaluate the quality / applicability of UI generated.

• Love exposure to a bit of everything – we’re collaborators with a hugely diverse set of research.

• Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.

• Have already spent time in the weeds teaching models to speak and perceive.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Consumer Products

Compensation

• $380K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Future of Computing Research team is an Applied Research team within the Consumer Products group focused on developing new methods and models to support our vision for the future of computing as we advance forward in our mission of building AGI that benefits all of humanity.

About the Role

As a Research Engineer/Scientist on the Future of Computing Research team, you will work together with _both_ the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.

This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.

In this role you will:

• Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices.
• Develop novel architectures that improve model performance when scaling the models themselves is not an option.
• Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.

You might thrive in this role if you:

• Have a research background related to developing on-device transformer models.
• Love performance optimization and working with GPU kernel engineers (but you do not need CUDA experience yourself).
• Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.
• Have already spent time in the weeds teaching models to speak and perceive.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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