Finance Expert

The artificial intelligence revolution is expanding far beyond basic text generation and software coding. Today, frontier AI labs are tackling some of the most complex analytical domains in global commerce, chief among them being financial systems, quantitative modeling, and corporate strategy. However, large language models cannot master complex financial reasoning without the guidance of seasoned human professionals.

Enter Turing. Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. By connecting top-tier subject-matter experts with world-class AI researchers, Turing bridges the gap between theoretical machine learning and mission-critical enterprise intelligence.

About Turing and the Mission

Turing supports customers in two primary ways:

1. Accelerating Frontier Research: Providing high-quality training data, advanced data pipelines, and elite human experts specializing in coding, reasoning, STEM, multilinguality, and finance.
2. Enterprise Transformation: Helping organizations transition AI from proof of concept into robust, reliable proprietary intelligence that delivers measurable impact on the P&L.

For finance professionals looking to make a high-impact transition into the AI space without writing code, Turing’s Finance Expert (US-Based) role offers an unprecedented professional avenue.

Overview of the Finance Expert Role

Turing is actively seeking elite finance experts to work directly with AI researchers to evaluate and enhance the financial reasoning performance of advanced language models. The platform is recruiting specialists across a wide range of sophisticated domains, including capital markets, portfolio management, financial research, trading, quantitative finance, investment banking, private equity, corporate finance, accounting, and more.

If you enjoy solving intricate financial problems and are curious about artificial intelligence, this role allows you to influence how AI interprets financial data. No prior AI experience is required—your core financial acumen is your primary asset.

Are You a Fit? Required Skills & Experience

To succeed in this high-caliber engagement, applicants must demonstrate robust professional backgrounds and analytical mastery. Ideal candidates meet the following criteria:

• Professional Background: 2+ years of hands-on experience in Capital Markets, Portfolio Management, Research, Trading, Quantitative Finance, Investment Banking, Private Equity, Venture Capital, Growth Equity, FP&A, Accounting, or Financial Consulting.
• Domain Mastery: A strong, demonstrated grasp of complex financial concepts such as investment analysis, financial research, cash flow forecasting, revenue builds, corporate finance, asset management, and risk management.
• Communication: Excellent English written communication skills to articulate complex analytical findings and construct clear evaluation rubrics.
• Preferred Bonuses (Not Mandatory): Holding a CFA (Level I, II, or III), CA, CPA, or an MBA in Finance.

Perks of Freelancing with Turing

Freelancing with Turing offers a unique blend of intellectual stimulation and professional flexibility:

• Cutting-Edge Exposure: Work at the absolute vanguard of artificial intelligence and financial technology.
• Complete Autonomy: Enjoy a fully remote and flexible work environment that adapts to your professional schedule.
• Competitive Compensation: Earn a lucrative hourly compensation of ~$100+/hour, scaled directly to your experience and expertise.

Engagement Details & The Interview Process

The engagement is structured for flexibility and impact:

• Commitment: Flexible scheduling ranging from 10 to 30 hours per week.
• Duration: Approximately 1 month initially, with high potential for project extension based on your performance and ongoing project needs.

The interview and onboarding process is streamlined to evaluate your core domain expertise. Once accepted, completing your onboarding swiftly and logging your first 10 hours of work is critical. Meeting this milestone ensures project stability, solidifies your standing on the platform, and gives you priority access to more advanced tasks and extensions.