Role Overview
Turing is hiring a entry-level Remote Private Equity Associate - /hr. This is a full-time role in Spokane Valley. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
About Turing
Turing is a pioneering research accelerator known for its collaboration with frontier AI labs and strong partnerships with global enterprises applying advanced AI systems. We help customers in two primary ways: first by enhancing frontier research through high-quality data, advanced training pipelines, and elite AI researchers. Secondly, we assist enterprises in transitioning AI from concepts to proprietary systems that deliver consistent performance and measurable outcomes impacting their results.
Role Overview
Turing is seeking skilled Private Equity professionals to collaborate with our researchers in enhancing the efficacy of AI models. You will leverage your expertise in deal sourcing, due diligence, leveraged buyout (LBO) analysis, and maximizing portfolio value to assess and refine AI systems. If you are passionate about solving intricate challenges within private equity and wish to influence the future of AI in finance, we encourage you to apply. No prior AI experience is necessary.
What You Can Expect Day-to-Day
- Assess LLM models focusing on private equity subjects like LBO structuring, deal screening, operational value enhancement, and exit strategy exploration.
- Develop rubrics to evaluate model performance in areas such as fund return modeling (IRR, MOIC), due diligence strategies, and portfolio company analysis.
- Work closely with AI researchers and fellow finance experts to refine training methodologies, assessment techniques, and performance benchmarks.
Requirements
- A minimum of 2 years of experience in Private Equity (including buyout funds, growth equity, distressed investing, or PE advisory).
- Solid understanding of LBO modeling, deal assessment, portfolio company management, and fund economics.
- Exceptional English written communication skills.
Preferred Qualifications (Not Required)
- CFA (Level I/II/III), CPA, or an MBA in Finance.
Benefits of Working with Turing
- Engage in groundbreaking work at the intersection of AI and finance.
- Enjoy a fully remote and flexible working environment.
- Earn competitive hourly compensation, approximately $100 or more based on your experience.
Offer Details
- Commitment: Flexible, 10-30 hours per week.
- Duration: Approximately 1 month, with potential for extension based on performance and project requirements.
Next Steps
After applying, you will receive a login link via email. Please complete your profile promptly to move forward with your application.
We are actively hiring for this position. If you know outstanding candidates, please refer them and earn rewards for successful referrals.
Frequently Asked Questions
How do I apply for the Remote Private Equity Associate - /hr position at Turing?
Use the Apply button above to submit your application directly to Turing. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Remote Private Equity Associate - /hr position at Turing located?
This position is based in Spokane Valley. Turing has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Remote Private Equity Associate - /hr at Turing earn?
Turing has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Remote Private Equity Associate - /hr role at Turing posted?
This role was posted on April 28, 2026 (55 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Remote Private Equity Associate - /hr role at Turing entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Turing has listed.
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