We are sharing a specialised full-time consulting opportunity for US-based senior finance professionals with deep experience in investment banking, asset management, corporate finance, financial advisory, and structured evaluation of AI-generated outputs.
This role supports a high-impact generative AI initiative focused on improving how advanced models reason through complex financial problems and real-world decision-making scenarios. Selected professionals will design rigorous finance tasks, evaluate model outputs against structured criteria, develop scoring frameworks, and provide practical feedback grounded in senior-level industry experience.
Key Responsibilities
Finance Domain Guidance
Guide research and engineering teams on financial analysis, valuation, investment decisions, capital allocation, and corporate finance
Identify gaps in model understanding across financial statements, transactions, markets, forecasting, and strategic decision-making
Apply practical financial judgment to complex scenarios involving companies, investors, transactions, and commercial objectives
Ensure finance tasks reflect realistic professional decisions and established industry practices
Finance Task & Solution Development
Design challenging, domain-relevant tasks grounded in real financial practice
Write accurate, well-reasoned solutions covering investment banking, asset management, corporate finance, and financial advisory scenarios
Develop problems requiring quantitative analysis, commercial judgment, interpretation of financial information, and evaluation of trade-offs
Ensure tasks are clear, internally consistent, and suitable for structured assessment
AI Output Evaluation
Evaluate AI-generated finance responses against established rubrics and scoring criteria
Assess correctness, financial judgment, reasoning quality, relevance, and practical applicability
Compare alternative outputs and determine which response provides the stronger financial analysis
Identify calculation errors, unsupported assumptions, weak financial logic, and incomplete conclusions
Provide clear written feedback that supports improvements in model behaviour
Rubric Development & Quality Calibration
Develop and refine evaluation guidelines for financial analysis and decision-making tasks
Define scoring criteria covering technical accuracy, professional judgment, reasoning, and conclusion quality
Participate in calibration activities with other finance specialists
Collaborate across teams to maintain consistency and accuracy throughout the training data
Ideal Profile
Strong candidates may have:
At least 8 years of dedicated professional experience in finance
Senior-level expertise in investment banking, asset management, corporate finance, financial advisory, or a related area
Experience working within a recognised financial institution, investment firm, professional-services organisation, or comparable company
Prior hands-on experience evaluating LLM or AI-generated outputs using structured rubrics or scoring criteria
Demonstrable career progression into vice president, director, senior manager, or comparable leadership responsibilities
Strong financial judgment and the ability to assess complex analytical and commercial decisions
Excellent written and verbal communication skills
Reliable availability for at least 35 hours per week during weekdays
Educational Background
A degree in finance, economics, accounting, business administration, mathematics, or a related field is highly relevant
Graduate-level education in finance, economics, business, or management may be helpful
Equivalent senior professional experience in financial analysis, transactions, or investment management may also be considered
Professional credentials such as CFA, CPA, CA, or comparable qualifications may be valuable
Nice to Have
Experience with valuation, financial modelling, mergers and acquisitions, capital markets, or portfolio analysis
Background in transaction advisory, private equity, equity research, strategic finance, or investment management
Experience creating structured scoring rubrics, evaluation guidelines, or quality frameworks
Familiarity with model training, human-feedback workflows, annotation, or AI quality assurance
Strong understanding of financial statements, forecasting, risk, capital structure, and investment analysis
Experience reviewing financial models, investment recommendations, transaction materials, or strategic finance proposals
Previous collaboration with product, analytics, research, engineering, or data-science teams
Why This Opportunity
Apply senior finance expertise to an advanced generative AI initiative
Influence how AI systems reason about financial analysis and commercial decision-making
Design and assess challenging finance problems grounded in practical industry experience
Collaborate with technical teams and experienced finance specialists
Join a full-time remote engagement with competitive hourly compensation
Contract Details
Full-time W-2 contingent employment arrangement
Fully remote role available to candidates based in the United States
Expected commitment of at least 35 hours per week during weekdays
Competitive rates between $60–$85 per hour depending on expertise and project scope
Prior experience evaluating AI or LLM outputs against structured rubrics is required
Applicants should clearly describe relevant AI evaluation experience in their application
Immediate availability is preferred
Work may include onboarding, specialty calibration, task development, and ongoing quality review
Project scope and duration may be adjusted according to programme requirements and performance
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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