Creates M&A, due diligence, valuation, purchase accounting, and LBO scenarios for AI training data. Reviews AI-generated advisory analyses for accuracy, assumptions, and professional judgment, then provides written feedback to improve performance. Requires transaction advisory, corporate development, investment banking, or valuation experience; hands-on QoE, valuation, or deal-model ownership; strong writing; and a finance, accounting, or related degree. CPA, ASA, ABV, or CFA credentials are advantageous.
This role is for one of our clients
Compensation: $700 per task
We are collaborating with a leading AI lab to engage experienced transaction advisory and valuation professionals. You'll translate real M&A, due diligence, and valuation work into structured, high-quality training data that teaches AI to reason the way deal teams do.
Focus Areas
M&A / transaction advisory · financial due diligence (quality of earnings) · business valuation · purchase accounting (ASC 805) support.
Requirements
Key Responsibilities
- Design realistic scenarios from your work — quality-of-earnings (QoE) analyses, working-capital and net-debt analyses, financial due-diligence findings, valuation models (DCF, comparable companies, precedent transactions), purchase price allocation (ASC 805), and deal / LBO models
- Review and compare AI-generated advisory outputs for analytical accuracy, defensible assumptions, and sound professional judgment
- Provide clear written feedback that improves how AI performs transaction and valuation tasks
- Collaborate asynchronously with the research team
Ideal Qualifications
- Transaction advisory (Big 4 TAS / boutique) and/or corporate development, investment banking, or valuation background
- CPA, and/or ASA / ABV / CFA a plus for valuation-leaning candidates
- Hands-on ownership of QoE, valuation, or deal models
- Bachelor's degree in Accounting, Finance, or a related field
- Strong written communication and attention to detail
Application Process
- Submit a resume or a short summary of your transaction advisory / valuation experience
- Complete a short form on your practice area, specialties, and certifications
- Selected applicants may complete a brief sample task
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Conduct talent mapping, market research, proactive sourcing, and pipeline development across technical, business, and leadership roles. Partner with recruiters and hiring managers to define target profiles, identify passive candidates, analyze talent availability and compensation trends, and deliver actionable market intelligence. Build evergreen talent communities, improve research workflows and tools, and adapt quickly to changing hiring priorities.
Top Skills:
Ats PlatformsLinkedin RecruiterLinkedin Talent InsightsSpreadsheets
Artificial Intelligence • Consumer Web • Edtech • HR Tech • Information Technology • Software • Conversational AI
Administer global equity plans, including RSUs, PSUs, options, vesting, releases, tax withholding, and terminations. Maintain equity data, reconcile Workday integrations, coordinate transfer-agent and payroll activities, and support Forms 3 and 4, Section 16, EDGAR Next, S-8 tracking, proxy calculations, and SOX controls. Partner with Legal, HR, Payroll, Tax, Finance, vendors, and employees while managing international reporting, audits, compliance updates, and process improvements.
Top Skills:
Edgar NextEquity Edge OnlineExcelSection 16 Filing SoftwareSox ControlsWorkday
Healthtech • Social Impact • Software • Telehealth
Lead software engineering for the Patient Onboarding team, building and improving registration, insurance verification, and care-access workflows. Write full-stack production code, lead complex cross-team initiatives, shape technical direction, improve engineering foundations, and support modern AI-enabled development practices. Collaborate with Product, Design, Analytics, and Engineering to improve patient conversion and system reliability.
Top Skills:
Backend ApisClaude CodeDistributed SystemsFrontend Frameworks
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



.jpg)