xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

We are seeking an experienced corporate finance professional to join us as an AI Corporate Finance Data Specialist. You will draw on your deep expertise in strategic financial planning, capital allocation, budgeting and forecasting, investor relations, and corporate development (including both organic and inorganic growth) to create high-quality data annotations, real-world examples, and detailed inputs that train and refine xAI's AI models.

Responsibilities

• Use proprietary software to deliver precise inputs, labels, and annotations for corporate finance projects, producing high-quality training data for AI models.

• Create and curate realistic, high-fidelity scenarios involving financial planning & analysis (FP&A), budgeting, forecasting, variance analysis, capital structure decisions, investor communications, earnings call preparation, corporate development (M&A strategy, integration planning, synergy modeling), capital raising, and treasury management.

• Partner with technical staff to support the development of new AI tasks and contribute to innovative tooling.

• Help design and refine efficient annotation tools tailored to corporate finance workflows.

• Identify, analyze, and break down complex corporate finance problems aligned with your professional experience to improve model performance.

• Execute tasks accurately while maintaining consistency and adapting to new requirements.

Basic Qualifications

• Strong command of written and spoken English (informal and professional).

• Excellent communication, interpersonal, analytical, and organizational skills.

• Superior reading comprehension and ability to exercise sound independent judgment with incomplete or ambiguous information.

• Genuine interest in technological innovation and its application to corporate finance.

Preferred Skills and Experience

• Relevant certifications (e.g., CPA, CFA, or equivalent finance credentials).

• Experience mentoring or training junior team members in corporate finance practices, such as financial modeling, forecasting, investor presentations, or deal execution.

• Comfort recording audio or video sessions for data collection purposes.

• Prior exposure to AI, machine learning, or data annotation workflows.

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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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.

About the Team

The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes.

About the Role

We are hiring a Hardware Finance Manager, R&D to own the financial strategy, investment modeling, and long-range planning for our hardware R&D programs. This role sits at the intersection of Hardware Engineering, Product, and Finance, and is responsible for ensuring that R&D roadmap decisions—spanning technical scope, sequencing, resourcing, and timelines—are grounded in rigorous financial analysis and disciplined capital allocation.

This role will serve as the embedded finance partner to Hardware Engineering and Product teams, with end-to-end ownership of R&D investment models, program-level financials, and long-range planning across the hardware development lifecycle. You will help leadership evaluate tradeoffs across technical ambition, speed, risk, and capital efficiency as hardware programs scale in scope and complexity.

We have a strong preference for candidates who can be based in our San Francisco HQ. 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 oversee multiple areas of responsibility:

• Own end-to-end hardware R&D financial models across the development lifecycle, from early concept and prototyping through development, validation, and transition to production.

• Serve as a key finance partner to Hardware Engineering and Product leadership, supporting decisions on roadmap sequencing, technical scope, resourcing levels, and investment pacing through clear financial frameworks and scenario analysis.

• Translate technical roadmaps into financially grounded R&D execution plans, integrating assumptions around headcount ramps, staffing mix, tooling, lab and test infrastructure, and development timelines.

• Drive capital discipline and investment efficiency, proactively identifying scope changes, resourcing inefficiencies, and investment risks before spend becomes structurally locked in.

• Own R&D forecasting, budgeting, and variance analysis, providing clear visibility into spend vs. plan, key drivers of change, and implications for broader hardware investment priorities.

• Frame program-level tradeoffs and decision scenarios for leadership, clearly quantifying implications across cost, schedule, technical risk, and long-term platform value.

• Build and maintain standardized R&D investment dashboards and program views to provide consistent, executive-ready visibility into burn rates, milestone progress, and capital allocation.

• Support portfolio-level decision-making by comparing investment profiles across hardware programs and generations, informing prioritization, sequencing, and long-term R&D strategy.

• Contribute to the development and scaling of the hardware R&D finance foundation, improving modeling rigor, governance, and decision support as the hardware portfolio grows.

You might thrive in this role if you have:

• 8+ years of progressive finance experience with significant exposure to hardware, manufacturing, or complex supply chain businesses.

• A passion for helping build world-class finance teams and driving business and financial outcomes, as measured on margin improvement, working capital efficiency, forecast accuracy, and execution of cost-reduction initiatives.

• A strong ability to critically evaluate opportunities and risks.

• Expert modeling skills with best-in-class attention to detail and unwavering commitment to accuracy.

• Exemplary ability to distill complex financial information into actionable insights.

• Excellent communication skills and “story telling” ability when presenting data insights.

• Strong enthusiasm for building the human-computer interface for the AI era.

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.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information.

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