Finance Expert in AI Development

This is a high-value niche opportunity at the intersection of elite finance and cutting-edge AI — a space growing rapidly as labs race to train domain-specific models. Working with a leading AI research laboratory adds a genuinely differentiated line to any finance professional's résumé.

Compensation analysis: At $80–$120/hour W-2, annualized at 20 hrs/week this yields $83K–$125K — but many contributors likely scale hours higher. For a part-time/consulting engagement, this significantly outpaces typical consulting day rates for finance professionals outside of MBB or top boutiques.

Skills developed in this role:

• AI/ML training data methodology — a rare, emerging skill set
• Structuring complex financial reasoning for machine consumption
• Evaluation framework design and rubric creation
• Cross-functional collaboration with AI researchers

These skills are increasingly valuable as financial institutions build proprietary AI tools. This role positions you ahead of peers who lack AI fluency.

Green flags: Flexible schedule, premium pay, access to frontier AI research, no proprietary data conflicts required.
Yellow flags: Project duration is uncertain (can be concluded early), and the engagement is through a staffing intermediary — not a direct hire — which limits long‑term stability and typical employment benefits.

Best suited for finance professionals seeking to pivot toward AI/fintech, or those between roles who want premium part‑time income while maintaining optionality.

This role is for one of our clients

Compensation: $80–$120 per hour

Employment Type: W-2 Employment
Location: Remote (United States)
Work Arrangement: Fully Remote
Work Commitment: Minimum 20 Hours per Week (Weekdays)

We are seeking highly skilled Finance Professionals with experience at leading global financial institutions, investment banks, private equity firms, accounting firms, or Fortune 500 organizations to contribute their domain expertise to the development and training of next‑generation Generative AI (GenAI) models.

In this role, you will collaborate with AI research and engineering teams to improve the financial reasoning, analytical capabilities, and technical accuracy of advanced AI models. You will leverage your professional experience in investment banking, private equity, equity research, corporate finance, financial modeling, valuation, or accounting to develop high-quality training data, evaluate AI‑generated financial outputs, and create complex finance‑related problem‑solving tasks.

The ideal candidate will have a strong track record at a top‑tier financial institution, advanced financial modeling capabilities, excellent analytical skills, and the ability to translate complex financial concepts into structured and accurate solutions.

• AI Model Development: Collaborate with AI research and engineering teams to identify knowledge gaps and improve AI model performance across finance, valuation, financial modeling, accounting, and financial reporting.
• Problem Design: Develop challenging, domain‑specific financial tasks and create accurate, well‑structured solutions to complex finance‑related problems.
• Technical Evaluation: Review AI‑generated financial tasks, analyses, and solutions for numerical accuracy, methodological correctness, and professional relevance.
• Financial Modeling & Valuation: Build, review, and evaluate financial models, valuation analyses, and investment‑related assessments.
• Reference Solutions: Develop detailed reference solutions for complex financial problems, ensuring accuracy, consistency, and alignment with industry practices.
• Evaluation Frameworks: Create structured rubrics to assess financial calculations, modeling…