AI training contract
Private Equity Associate
Finance & Accounting · USD 45-100 an hour. · 4 openings
Private Equity Associate is contract work for micro1, reviewing and correcting what AI models produce in finance & accounting. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 45 to USD 100 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 4 openings on this role.
Skills named: Private Equity mastery, LBO modelling & returns analysis, Investment thesis & IC memo writing, Due diligence & risk assessment, Written precision & documentation, Analytical reasoning under ambiguity.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
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 Design and author project tasks that authentically represent private equity workflows, including CIM screening, LBO modelling, and portfolio company monitoring. Develop and rigorously stress-test LBO models using realistic capital structures and operating assumptions, with a focus on returns analysis (IRR, MOIC). Craft investment committee memos evaluating hypothetical or real deals, outlining thesis, key risks, value-creation strategies, and exit scenarios. Conduct detailed due diligence assessments, highlighting risk factors and proposing mitigation strategies, mirroring industry best practices. Evaluate AI-generated outputs for financial accuracy, strategic judgement, and alignment with established private equity methodologies. Collaborate with project leads to refine evaluation rubrics, adjust task difficulty, and ensure comprehensive coverage across sectors and deal types. Deliver thorough documentation and feedback, supporting continuous improvement of AI training datasets. Preferred Qualifications 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. Advanced degree such as MBA or Master's in Finance; completion of top-tier programs (e.g., Wharton) is especially valued. Demonstrated expertise building LBO models and investment committee memos reviewed by principals or partners. Exceptional written communication, with a track record of producing clear, professional-grade documentation and memos. Strong analytical skills and the ability to exercise sound judgement under ambiguous conditions. Direct participation in due diligence and risk assessments in live private equity transactions. Ability to commit to structured project work, delivering consistent, high-quality contributions within defined parameters.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.