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
Information Technology
Owns the technical customer relationship for public cloud environments, advising on AWS, Azure, and GCP best practices. Conducts cloud architecture reviews, governance sessions, ticket reviews, and spend optimization discussions. Acts as a customer advocate, escalation point, and liaison with internal teams. Provides product guidance, billing support, technology education, and strategic recommendations while maintaining executive-level customer relationships.
Top Skills:
AWSAzureCloud Management PlatformsDevOpsGCPPublic Cloud ComputingWell-Architected Framework
Information Technology
Leads a customer engagement and technical account management team supporting managed-services customers. Oversees team performance, capacity, escalations, customer meetings, service-level outcomes, training, recruiting, workflows, and quality control. Partners across internal teams to improve customer satisfaction and resolve service tickets. Requires customer escalation expertise, public cloud knowledge, KPI-driven process improvement, and strong people leadership.
Top Skills:
Ai ToolsPublic Cloud Infrastructure Services
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
The Director I, Data Science will design and evaluate generative AI and agentic systems, develop semantic layers and knowledge graphs, and build frameworks assessing AI performance, reliability, and safety. The role collaborates with data and engineering teams, leads cross-functional initiatives, promotes best practices across the data science community, advises on complex projects, and communicates technical insights to business stakeholders. This is a hands-on individual contributor position.
Top Skills:
Agentic SystemsData ScienceGenerative AiKnowledge GraphsMachine LearningMlopsPredictive AnalyticsSemantic Layers
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
