Overview
This role involves leveraging deep financial modeling expertise to audit, refine, and improve AI-generated financial modeling tasks. The position requires strong experience in financial markets combined with proficiency in Python and GitHub to directly edit and enhance task instructions, scoring rubrics, Markdown files, and Python scripts. The goal is to ensure AI outputs meet the standards of professional financial analysts.
This is a fully remote, flexible contract role requiring strong US-based financial knowledge and fluency with American financial terminology and conventions.
- Type: Hourly Contract
- Commitment: 10–40 hours/week
- Location: Remote
Responsibilities
- Audit AI-generated financial modeling tasks to verify accurate replication of professional analyst workflows
- Validate task instructions and scoring rubrics for logical consistency, completeness, and real-world applicability
- Edit Markdown files and Python scripts via Pull Requests to fix logic errors, clarify ambiguities, and improve task quality
- Evaluate AI outputs for correct application of concepts such as DCF analysis, P&L interpretation, financial statement modeling, and valuation techniques
- Provide clear, structured feedback based on professional financial expertise
- Collaborate asynchronously with a distributed team using GitHub workflows
- Work independently on task-based assignments with flexible scheduling
Requirements
- Extensive subject matter expertise in finance, with experience as an analyst, in investment banking, corporate finance, equity research, FP&A, or related fields
- Strong command of US financial terminology and frameworks (e.g., DCF, P&L, balance sheet analysis, WACC, comparable company analysis)
- Proficiency in Python, including reading, writing, and debugging financial calculation scripts
- Experience with GitHub, including cloning repositories, creating branches, and submitting Pull Requests independently
- Comfortable editing Markdown for technical documentation
- Detail-oriented with a systematic, quality-driven approach to reviewing work
- Clear and precise written communication skills to articulate issues and solutions
- Self-motivated and reliable when working independently
Preferred Qualifications
- CFA, CPA, or MBA with a finance concentration
- Professional experience building financial models in Excel or Python for deal evaluation, forecasting, or valuation
- Background in teaching, mentoring, or developing training materials for financial concepts
- Familiarity with AI/ML evaluation workflows or data annotation projects
- Experience writing or reviewing technical rubrics or assessment criteria
Compensation & Benefits
- Hourly contract with flexible hours
- Fully remote work
- Opportunity to contribute to innovative AI projects in finance
- Potential for ongoing work and contract extensions based on project needs
Location
- Remote (Candidates must have strong US-based financial knowledge and fluency with American financial terminology and conventions)