As a Software Engineer on Anthropic's Human Data Interfaces team, you'll own the architecture and execution of our data collection pipelines, designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams.

Responsibilities

• Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability
• Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data
• Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods
• Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier
• Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly

You May Be a Good Fit If You:

• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
• Are a strong full-stack engineer with broad experience across the stack
• Are very good at building internal tools, including working with users of the tools to understand their needs
• Thrive in fast-moving environments where you need to balance speed of iteration with long-term system health
• Are a quick study,this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective

Strong Candidates May Also Have:

• Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines
• Familiarity with how preference data and reward models are used in AI model training
• Experience working with researchers who are internal users/customers
• Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows
• Strong instincts around system design , building things that evolve gracefully as requirements change
• Experience influencing technical and product direction on a team

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.

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

How to Apply

If you're interested in this role, please submit your application through our website. We look forward to hearing from you!

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In this role, you will leverage your expertise in regulatory compliance, contract analysis, legal research, and dispute resolution to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world legal and compliance dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for legal and compliance projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving regulatory compliance, contract analysis, legal research, and dispute resolution.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for legal and compliance data.
• Select and analyze complex problems in legal and compliance fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Must have a J.D. (Juris Doctor) or foreign equivalent.
• At least 2 years of practicing law in one or more of the following practice areas: Criminal Law, Civil Litigation, Torts, International Law, Health Law, Civil Rights Law, Constitutional Law, Construction Law, Education Law, Employment and Labor Law, Environmental Law, Corporate Law, Business Law, Family Law, Immigration Law, Intellectual Property Law, Patent Law, Real Estate Law, Tax Law, Bankruptcy Law, Administrative Law, Antitrust Law, Privacy and Data Protection Law, Cybersecurity Law, Energy Law.
• Strong legal analysis and writing skills, including the ability to draft clear, concise, and well-reasoned legal documents and memoranda
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in legal processes.
• Relevant certification, license, or advanced training (bar admission or similar legal certification)

Preferred Skills and Experience:

• Experience mentoring or training others in legal practices.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

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In this role, you will leverage your expertise in mergers, acquisitions, divestitures, financial modeling, valuation techniques, deal structuring, due diligence, pitch books, and fairness opinions to support the training of AI systems.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for M&A investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving mergers, acquisitions, divestitures, financial modeling, valuation techniques (e.g., DCF, comparables, precedent transactions), deal structuring, due diligence, pitch books, and fairness opinions.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for M&A investment banking data.
• Select and analyze complex problems in M&A investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications:

• Professional experience in M&A investment banking or related fields (e.g., M&A advisor, analyst, associate, vice president or director in investment banking focused on mergers and acquisitions).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in M&A investment banking.

Preferred Skills and Experience:

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in M&A investment banking practices, such as financial modeling, valuation, or deal execution.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical 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. 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.

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Your role involves refining annotation tools and selecting complex problems from advanced finance fields, with a focus on investment analysis and topics including but not limited to equities, commodities, real estate, fixed income, forex, derivatives, and accounting. 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.

As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI's AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in finance.

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 finance fields that align with your expertise, focusing on areas like investment analysis, taxation, accounting, financial modeling, or risk assessment where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must possess a Master's or PhD in a finance-related field (Finance, Economics, Business Administration with a finance focus, or related disciplines) or equivalent professional experience as an investment analyst specializing in equity, commodities, real estate, fixed income, or accounting.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings).
• 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 finance.

Preferred Skills and Experience:

• Professional experience as an investment analyst, portfolio or wealth manager, or financial consultant.
• Possesses experience with at least one publication in a reputable finance or economics journal or outlet.
• Teaching experience (as a professor, teacher, or tutor) in finance-related subjects.
• Corporate accountants with a CPA - CFA Charterholder

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Responsibilities:

• Drive the development of AI features that drive impact
• Partner with Engineering to set strategy and priorities for teams and projects
• Define a vision and roadmap for AI-driven user experiences
• Build and maintain a strong understanding of AI technology in the payment industry
• Partner with cross-functional teams to improve features

Requirements:

• 5+ years of product management experience
• Proven track record shipping and iterating on AI features that drive impact
• Experience with Fintech or SaaS industry
• Experience working in a fast-paced, scrappy environment

Preferred skills:

• Experience with AI model training, evaluation, and iteration
• Ability to communicate clearly at different altitudes, including driving alignment with senior stakeholders
• An affinity for the fast-paced, changing environment of a start-up, a sense of humor, and get-it-done personality

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You'll be responsible for a full end-to-end slice of our product. From the idea on a whiteboard to something that customers use (and love), it's yours to drive.

Responsibilities

• Build and maintain a strong understanding of AI technology in the payment industry - its constraints, strengths and weaknesses in a fast evolving environment
• Define a vision and roadmap for AI driven user experiences, motivating model research and guiding product development with clear requirements
• Partner with a wide range of cross-functional partners across Product, Design, Engineering, and Data Science to improve a range of features
• Partner with Engineering to set strategy and priorities for teams and projects

Requirements

• 5+ years of product management experience
• Proven track record shipping and iterating on AI features that drive impact
• Experience with Fintech or SaaS industry
• Experience working in a fast-paced, scrappy environment

Benefits

• Health, dental, and vision coverage
• Paid time off and paid parental leave
• Opportunities for career growth and development
• Impact the experience of world-known clients

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