Role Description
Join a network of finance students, professionals, and operators working at the intersection of finance and AI. In this role, you’ll help train cutting-edge AI systems to better understand real-world financial work—from investment analysis to corporate finance and economic modeling. This is a flexible, remote contract role designed for students (undergraduate and master’s) and early-career professionals looking to gain hands-on experience with AI while applying their finance knowledge.
Your Impact:
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You’ll contribute directly to improving how AI models perform on realistic financial tasks, helping shape tools used across financial services, investing, and strategy.
What You’ll Do:
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Review and improve AI-generated financial analyses and explanations
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Work on tasks such as financial modeling concepts, valuation, accounting workflows, and market analysis
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Help train AI on real-world finance use cases (e.g., investment memos, industry research, FP&A insights)
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Provide clear, structured feedback to improve model accuracy
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Collaborate with teams building next-generation AI systems
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Stay up to date with financial markets and trends
How It Works:
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Apply and go through a short evaluation process
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If selected, complete a paid onboarding/training period (typically ~2 weeks)
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Start contributing to live projects with flexible hours
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Get paid based on project scope and experience level
Qualifications
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Currently pursuing or recently completed a Bachelor’s or Master’s degree in Finance, Economics, Accounting, or a related field
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Strong grasp of core finance concepts (financial statements, valuation, markets)
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Analytical thinker with attention to detail
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Strong written communication skills
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Curious about AI, fintech, and the future of financial work
Requirements
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Reliable internet and access to a personal computer (Windows 10 or macOS Big Sur 11.0 or later)
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Ability to adapt quickly in a fast-paced, project-based environment
Nice to Have
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Internship or coursework in investment banking, private equity, consulting, or corporate finance
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Experience with Excel, financial modeling, or data analysis
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Interest in CFA/CPA or similar certifications
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Experience teaching, tutoring, or explaining technical concepts
Compensation & Flexibility
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Competitive hourly pay based on experience and project type
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Flexible schedule; many contributors work 10–30+ hours per week
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Fully remote with optional opportunities to engage more deeply over time
Location & Eligibility
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Fully remote
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No visa sponsorship available