Finance Expert - Corporate Finance

Professional experience in corporate finance roles such as CFO, Corporate Development (M&A, strategy, integrations), FP&A, Investor Relations, Treasury, or similar positions at public or large private companies.

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

Comfort recording audio or video sessions for data collection purposes.

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

$45 - $100 per hour

The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location.

Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.

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

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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.

You will partner closely with our technical teams to improve annotation tools, develop realistic corporate finance scenarios, and help ensure our models capture the full complexity of actual corporate finance decision-making.

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.