Financial Consulting Expert at Turing

Financial Consulting Expert | $100+/hr | Worldwide Remote | 10–30 hrs/week

Turing is seeking experienced Financial Consulting professionals to collaborate with AI researchers and help improve the performance of cutting-edge AI models. This is a fully remote, flexible freelance opportunity where your finance expertise directly shapes the future of AI in the financial industry. No prior AI experience is required.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing helps accelerate frontier research with high-quality data, advanced training pipelines, and top-tier subject matter experts across coding, reasoning, STEM, and finance.

What You'll Do

• Evaluate large language models (LLMs) on financial consulting topics including business valuation, due diligence, financial restructuring, and forensic accounting.
• Develop rubrics to assess model capabilities on tasks such as purchase price allocation, impairment testing, working capital analysis, and financial risk assessment.
• Collaborate with AI researchers and fellow finance professionals to shape training methodologies, evaluation strategies, and performance benchmarks.

Requirements

• 2+ years of experience in Financial Consulting (e.g., Big 4 advisory, transaction services, valuation, restructuring, or management consulting with a finance focus).
• Strong command of valuation methodologies, due diligence frameworks, financial restructuring, and advisory engagement management.
• Excellent written communication skills in English.

Bonus Qualifications (Not Required)

• CFA (Level I, II, or III), CA/CPA, ABV designation, or an MBA in Finance.

Perks

• Work at the cutting edge of AI and finance.
• Fully remote and flexible schedule — work when it suits you.
• Competitive compensation of $100+/hr depending on experience.

Engagement Details

• Commitment: Flexible, 10–30 hours per week.
• Duration: Approximately 1 month, with potential extension based on performance and project needs.