Finance Expert

Help Train Financial Intelligence
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
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

• Review and improve AI-generated financial analyses and explanations

• Work on tasks such as financial modeling concepts, valuation, accounting workflows, and market analysis

• Help train AI on real-world finance use cases (e.g., investment memos, industry research, FP&A insights)

• Provide clear, structured feedback to improve model accuracy

• Collaborate with teams building next-generation AI systems

• Stay up to date with financial markets and trends

How It Works

• Apply and go through a short evaluation process

• If selected, complete a paid onboarding/training period (typically ~2 weeks)

• Start contributing to live projects with flexible hours

• Get paid based on project scope and experience level

Who You Are

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Finance, Economics, Accounting, or a related field

• Strong grasp of core finance concepts (financial statements, valuation, markets)

• Analytical thinker with attention to detail

• Strong written communication skills

• Curious about AI, fintech, and the future of financial work

Nice to Have

• Internship or coursework in investment banking, private equity, consulting, or corporate finance

• Experience with Excel, financial modeling, or data analysis

• Interest in CFA/CPA or similar certifications

• Experience teaching, tutoring, or explaining technical concepts

Compensation & Flexibility

• Competitive hourly pay based on experience and project type

• Flexible schedule; many contributors work 10–30+ hours per week

• Fully remote with optional opportunities to engage more deeply over time

Additional Requirements

• Reliable internet and access to a personal computer (Windows 10 or macOS Big Sur 11.0 or later)

• Ability to adapt quickly in a fast-paced, project-based environment

Location & Eligibility

• Fully remote

• No visa sponsorship available