Advisory & Transaction Services Expert (M&A / Valuation)
Quick Summary
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.
What We Offer
~1 min readWe 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.
M&A / transaction advisory · financial due diligence (quality of earnings) · business valuation · purchase accounting (ASC 805) support.
Requirements
~1 min read- 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
Responsibilities
~1 min read- →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
- 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.
Location & Eligibility
About this job
- Posted
- 41 days ago
Listing Details
- Posted
- September 14, 2026
- First seen
- September 29, 2026
- Last seen
- October 25, 2026
Posting Health
- Days active
- 25
- Repost count
- 0
- Trust Level
- 30%
- Scored at
- October 25, 2026
Signal breakdown
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