Capital Markets Expert
Turing • Remote • Posted 3 days ago
Education
Any
Type
Pay Rate
$40/task
Posted
3d ago
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About this Role
About 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. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Role Overview
Turing is looking for Private Equity professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in deal sourcing, due diligence, LBO analysis, and portfolio value creation to evaluate and train AI systems. If you enjoy solving complex problems in private equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.
What Does Day-to-Day Look Like
Evaluate LLM models on private equity topics such as LBO structuring, deal screening, operational value creation, and exit strategy analysis. Create rubrics to assess model capabilities on tasks like fund return modeling (IRR, MOIC), due diligence frameworks, and portfolio company analysis. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.
Requirements
2+ years of experience in Private Equity (e.g., buyout funds, growth equity, distressed investing, or PE-focused advisory). Strong grasp of LBO modeling, deal evaluation, portfolio company management, and fund economics. Excellent English written communication.
Bonuses (Not at All Necessary)
CFA (Level I/II/III), CPA, or MBA in Finance.
Perks of Freelancing with Turing
Work on the cutting edge of AI and finance. Fully remote and flexible work environment. Competitive hourly compensation of ~$100+/hour depending on experience.
Offer Details
Commitment: Flexible, 10–30 hrs/week. Duration: ~1 month, with the possibility of extension based on performance and project needs.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Eligible Languages
Fluent proficiency in English
Compensation Analysis
Shape the "brain" of future AI. By working as a Capital Markets Expert, you ensure that future models understand the nuance of your field. At $40/hr, it's a lucrative way to preserve the integrity of your profession in the digital age.
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Frequently Asked Questions
Do I need to be a software engineer?
Not anymore. Turing built its reputation matching senior engineers with Silicon Valley companies, but they have heavily pivoted into AGI infrastructure. They now hire non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English are required, but you do not need to code.
How does matching work?
Turing calls it the 'Intelligent Talent Cloud.' You build a profile and go through deep vetting — automated tests, an AI-powered interview, and practical skill assessments. Once vetted, Turing's algorithm automatically surfaces you to partner companies (Fortune 500s and top AI labs). You don't browse job boards or bid on work — matches come to you.
How does payment work?
You are hired as an independent contractor, responsible for your own local taxes. Turing collects payment from the client and pays you monthly in USD via Deel, Payoneer, or direct bank/wire transfer. Monthly pay is standard for long-term contract roles — if you need weekly cash flow, this structure requires adjustment.
Is this traditional consulting?
Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.
Why is the pay so high?
This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.
What is the workload like?
This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.