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AI Trainer Jobs

Private Equity Associate

micro1 · 100% remote · Contract · Posted

Pay
$45–100/hr
Location
Worldwide
Languages
English
Hours
Flexible
Openings
4
Level
Expert
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Summary

Remote contractor role supporting AI training for private equity workflows. Work includes LBO models, investment committee memos, due diligence, and evaluation of financial outputs. No prior AI experience is required.

What you'll do

  • Create tasks covering CIM screening, LBO modeling, and portfolio monitoring
  • Build and stress-test LBO models and analyze IRR and MOIC
  • Draft investment committee memos covering thesis, risks, value creation, and exits
  • Assess due diligence risks and propose mitigation strategies
  • Evaluate AI outputs for financial accuracy and strategic judgment
  • Refine evaluation rubrics and task difficulty with project leads
  • Document findings and provide feedback on training datasets

Requirements

  • Preferred: 2–6+ years in private equity or investment banking plus private equity
  • Preferred: MBA or master's degree in finance
  • Expertise building LBO models and investment committee memos
  • Clear professional writing and documentation
  • Strong analytical skills and judgment under ambiguity
  • Direct participation in transaction due diligence and risk assessments
  • Ability to deliver consistent contributions within project parameters

Skills

  • Private Equity Mastery
  • LBO Modelling & Returns Analysis
  • Investment Thesis & IC Memo Writing
  • Due Diligence & Risk Assessment
  • Written Precision & Documentation
  • Analytical Reasoning Under Ambiguity

Full description

Role Title: Private Equity Associate


Role Type: Contractor


Location: Remote


micro1 is engaging Private Equity Associates to contribute expertise to a customer's project focused on enhancing AI-driven private equity workflows. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and author project tasks that authentically represent private equity workflows, including CIM screening, LBO modelling, and portfolio company monitoring.
  2. Develop and rigorously stress-test LBO models using realistic capital structures and operating assumptions, with a focus on returns analysis (IRR, MOIC).
  3. Craft investment committee memos evaluating hypothetical or real deals, outlining thesis, key risks, value-creation strategies, and exit scenarios.
  4. Conduct detailed due diligence assessments, highlighting risk factors and proposing mitigation strategies, mirroring industry best practices.
  5. Evaluate AI-generated outputs for financial accuracy, strategic judgement, and alignment with established private equity methodologies.
  6. Collaborate with project leads to refine evaluation rubrics, adjust task difficulty, and ensure comprehensive coverage across sectors and deal types.
  7. Deliver thorough documentation and feedback, supporting continuous improvement of AI training datasets.


Preferred Qualifications

  1. 2–6+ years of experience in private equity, investment banking plus private equity, or direct private equity roles at mid-market, growth, or large-cap funds.
  2. Advanced degree such as MBA or Master's in Finance; completion of top-tier programs (e.g., Wharton) is especially valued.
  3. Demonstrated expertise building LBO models and investment committee memos reviewed by principals or partners.
  4. Exceptional written communication, with a track record of producing clear, professional-grade documentation and memos.
  5. Strong analytical skills and the ability to exercise sound judgement under ambiguous conditions.
  6. Direct participation in due diligence and risk assessments in live private equity transactions.
  7. Ability to commit to structured project work, delivering consistent, high-quality contributions within defined parameters.

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