Finance Specialist (GenAI Team)
Company: Mercor · Pay: $65–$90/hr · Location: Remote — United States · Type: contractor · Posted: 2026-09-14
The Intersection of High Finance and Artificial Intelligence: A New Paradigm for Financial Experts
The corporate landscape of financial services, investment banking, asset management, and corporate advisory is experiencing a profound technological transformation. For decades, professionals who climbed the ranks at premier institutions like Goldman Sachs, JPMorgan, Morgan Stanley, and the Big Four accounting firms spent their days building complex financial models, structuring asset portfolios, and managing rigorous corporate evaluations. Today, a new and exciting frontier has opened up: training the next generation of artificial intelligence systems to master complex financial reasoning.
Leading AI laboratories are pushing the boundaries of Generative AI, striving to build foundational language models that can perform advanced financial analysis, valuation, and market forecasting with absolute accuracy. However, machine learning algorithms cannot master financial intuition, regulatory nuances, and strategic financial decision-making in a vacuum. They require world-class human expertise. Through platforms like Mercor, elite financial professionals can now leverage their years of rigorous industry experience to train frontier AI models, commanding lucrative hourly rates between $65 and $90.
Detailed Job Overview & Core Responsibilities
The Finance Specialist role is designed for senior-level practitioners who want to apply their deep domain knowledge to cutting-edge technology. Working alongside premier AI research and engineering teams, your primary mission is to inject real-world financial rigor, accuracy, and judgment into automated model outputs.
Key Responsibilities:
- Bridging Knowledge Gaps: Guide research and engineering teams to resolve complex knowledge deficits in financial reasoning, corporate finance, market analysis, and high-level decision-making.
- Task Design: Create challenging, domain-relevant financial tasks and write accurate, meticulously reasoned solutions grounded in established financial practice.
- AI Output Evaluation: Evaluate AI model outputs against structured evaluation rubrics, providing clear and comprehensive written feedback on correctness, commercial judgment, and underlying analytical quality.
- Rubric Development: Design, iterate, and refine evaluation guidelines and scoring metrics specifically tailored for advanced finance tasks.
- Cross-Functional Collaboration: Collaborate closely with fellow subject-matter experts (SMEs) to guarantee consistency, data integrity, and uncompromising accuracy across training datasets.
Candidate Requirements: What It Takes to Qualify
Because these foundational AI models serve institutional and enterprise users, the qualification criteria are rigorous. Mercor and its partnering entities look for proven track records at top-tier organizations.
- 8+ Years of Professional Experience: Dedicated background in finance, including investment banking, asset management, corporate finance, private equity, or financial advisory.
- Top-Tier Background: Prior professional tenure at recognized institutions such as Goldman Sachs, JPMorgan, Morgan Stanley, BlackRock, Fidelity, Deloitte, PwC, EY, KPMG, or equivalent organizations.
- AI Evaluation Experience: Prior hands-on experience evaluating LLM or AI model outputs against structured rubrics and scoring criteria (mandatory; must be highlighted in your application).
- Career Progression: Demonstrable, steady career advancement through roles such as Analyst, Associate, VP, or Director.
- Reliable Availability: Ability to commit and engage reliably for at least 35 hours per week during standard weekdays.
Employment Structure, Compliance, and Employer of Record Details
Unlike standard freelance gigs, this engagement offers a structured pathway through enterprise staffing infrastructure. Employment and compliance are managed smoothly via Cincinnatus LLC:
- Employer of Record (W-2 Employment): Cincinnatus LLC acts as the employer of record, providing formal W-2 employment status, comprehensive payroll management, statutory benefits, and compliance oversight while placing you directly within elite AI lab teams.
- Remote Autonomy: Enjoy the freedom of a fully remote schedule while collaborating on high-impact initiatives from anywhere across the United States.
- Reliable Payment Systems: Compensation is distributed seamlessly on a weekly basis via Stripe or Wise based on services rendered.
Why Financial Experts Are Transitioning to GenAI Training
Traditional corporate finance careers—while rewarding—frequently involve grueling 80-hour workweeks, intense internal office politics, and relentless travel schedules. For experienced finance professionals seeking greater schedule control without sacrificing their earning potential, AI training roles present an ideal professional evolution.
By stepping into a Finance Specialist role, you retain complete intellectual stimulation, working on complex valuation problems and market strategies, but with the flexibility of remote contract work. Furthermore, your participation places you at the epicenter of the AI revolution, giving you a first-row seat to how automated financial tools will shape the corporate world for decades to come.
Secure Your Place in the AI Revolution — Apply Today
Opportunities to influence foundational large language models with elite financial expertise are rare and highly competitive. If you possess the requisite background in corporate finance, investment banking, or asset management, and want to command $65-$90/hr while shaping the future of financial AI, now is the ideal moment to take action.
Responsibilities
- Bridging Knowledge Gaps: Guide research and engineering teams to resolve complex knowledge deficits in financial reasoning, corporate finance, market analysis, and high-level decision-making.
- Task Design: Create challenging, domain-relevant financial tasks and write accurate, meticulously reasoned solutions grounded in established financial practice.
- AI Output Evaluation: Evaluate AI model outputs against structured evaluation rubrics, providing clear and comprehensive written feedback on correctness, commercial judgment, and underlying analytical quality.
- Rubric Development: Design, iterate, and refine evaluation guidelines and scoring metrics specifically tailored for advanced finance tasks.
- Cross-Functional Collaboration: Collaborate closely with fellow subject-matter experts (SMEs) to guarantee consistency, data integrity, and uncompromising accuracy across training datasets.
Qualifications
- 8+ Years of Professional Experience: Dedicated background in finance, including investment banking, asset management, corporate finance, private equity, or financial advisory.
- Top-Tier Background: Prior professional tenure at recognized institutions such as Goldman Sachs, JPMorgan, Morgan Stanley, BlackRock, Fidelity, Deloitte, PwC, EY, KPMG, or equivalent organizations.
- AI Evaluation Experience: Prior hands-on experience evaluating LLM or AI model outputs against structured rubrics and scoring criteria (mandatory; must be highlighted in your application).
- Career Progression: Demonstrable, steady career advancement through roles such as Analyst, Associate, VP, or Director.
- Reliable Availability: Ability to commit and engage reliably for at least 35 hours per week during standard weekdays.