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Remote | Finance AI Training Specialist — $60–$85/hour

Role overview

Qualifications

  • At least 2 years of dedicated professional experience in finance
  • Recognized CFA, ACA, ACCA, or CPA credential
  • Strong financial reasoning, analytical judgment, and problem-solving skills
  • Experience developing or reviewing complex financial analyses

Responsibilities

  • Design challenging finance problems based on realistic professional scenarios
  • Review AI-generated financial analyses, recommendations, calculations, and conclusions
  • Create and refine scoring rubrics for finance-related evaluation tasks
  • Help research and engineering teams address gaps in financial knowledge and reasoning

Key facts

Other skills

  • Analytical Thinking
  • Problem Solving
  • Forecasting
  • Communication
  • Collaboration

About the company

24-MAG logo

24-MAG

Company details

Company size2 - 10

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Job description

We are sharing a specialised part-time consulting opportunity for finance professionals with recognised CFA, ACA, ACCA, or CPA credentials and hands-on experience in investment banking, asset management, corporate finance, accounting, audit, treasury, or financial planning and analysis.

This role supports a generative AI initiative focused on building advanced financial reasoning capabilities into large language models. Selected professionals will design challenging finance tasks, develop accurate reference solutions, evaluate model-generated analyses, and create structured scoring criteria grounded in real-world financial practice and professional judgment.

Key Responsibilities

Finance Task Development

  • Design challenging finance problems based on realistic professional scenarios
  • Create tasks involving financial analysis, valuation, accounting, investment decisions, treasury, forecasting, or related areas
  • Develop clear and technically accurate reference solutions
  • Ensure assignments reflect the reasoning and judgment required in professional finance environments

AI Output Evaluation

  • Review AI-generated financial analyses, recommendations, calculations, and conclusions
  • Assess outputs for technical accuracy, reasoning quality, completeness, and professional judgment
  • Identify unsupported assumptions, calculation errors, and weaknesses in financial logic
  • Compare responses against structured evaluation criteria and reference solutions

Rubric & Guideline Development

  • Create and refine scoring rubrics for finance-related evaluation tasks
  • Define clear standards for correctness, reasoning quality, analytical depth, and decision-making
  • Distinguish minor omissions from material financial errors
  • Improve evaluation guidelines based on recurring model strengths and weaknesses

Research Collaboration

  • Help research and engineering teams address gaps in financial knowledge and reasoning
  • Provide clear written feedback explaining errors and recommended improvements
  • Collaborate with other finance subject-matter experts to maintain consistent quality standards
  • Participate reliably in asynchronous review and calibration activities

Ideal Profile

Strong candidates may have:

  • At least 2 years of dedicated professional experience in finance
  • Substantial experience in investment banking, asset management, corporate finance, accounting, audit, corporate treasury, or FP&A
  • A recognised CFA, ACA, ACCA, or CPA credential
  • Strong financial reasoning, analytical judgment, and problem-solving skills
  • Experience developing or reviewing complex financial analyses
  • Excellent written and verbal communication skills
  • Ability to explain technical finance concepts clearly and precisely
  • Reliable weekday availability for at least 10 hours per week

Educational Background

  • A bachelor's degree in finance, accounting, economics, business, mathematics, or a related discipline is highly relevant
  • CFA, ACA, ACCA, or CPA credentials are required
  • An MBA, master's degree, or other advanced finance qualification may strengthen an application
  • Additional specialist training in valuation, financial modelling, investment analysis, accounting, or treasury may be valuable

Nice to Have

  • Experience developing financial models, forecasts, valuations, or investment recommendations
  • Background reviewing the work of analysts, accountants, or finance teams
  • Familiarity with structured assessment, rubric development, or technical training materials
  • Experience communicating financial findings to senior stakeholders
  • Exposure to AI evaluation, data annotation, or model-training projects
  • Experience working across multiple finance disciplines or complex business scenarios
  • Strong knowledge of professional finance standards and real-world decision-making processes

Why This Opportunity

  • Apply professional finance expertise to advanced generative AI development
  • Help improve how AI systems reason through complex financial tasks
  • Design realistic challenges grounded in professional finance practice
  • Collaborate with research, engineering, and finance specialists
  • Contribute through a flexible remote engagement with competitive hourly compensation

Contract Details

  • W-2 contingent employment opportunity
  • Remote within the United States
  • Minimum commitment of approximately 10 hours per week
  • Weekday availability is required
  • Competitive rates between $60–$85 per hour depending on expertise and project scope
  • Work may include finance task development, reference-solution writing, AI output evaluation, rubric development, and quality calibration
  • Engagement scope and duration may be adjusted according to project 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.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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