Finance & Python Expert — AI Training Analyst

Overview

This role involves leveraging deep financial modeling expertise to audit, refine, and improve AI-generated financial modeling tasks. The goal is to ensure these tasks accurately replicate the workflows and standards of professional financial analysts. The position requires strong knowledge of US financial terminology and conventions, proficiency in Python and GitHub, and the ability to edit technical documentation.

This is a fully remote, flexible contract role with hourly compensation ranging from $80 to $110. The expected commitment is between 10 and 40 hours per week.

Responsibilities

• Audit AI-generated financial modeling tasks to verify they reflect 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 correct logic errors, clarify ambiguities, and improve task quality
• Assess AI outputs for correct application of financial concepts such as discounted cash flow (DCF) analysis, profit and loss (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
• Manage task-based assignments independently, working at your own pace and schedule

Requirements

• Extensive subject matter expertise in finance, with experience as an analyst, in investment banking, corporate finance, equity research, financial planning & analysis (FP&A), or a related field
• Strong command of US financial terminology and frameworks, including DCF, P&L, balance sheet analysis, weighted average cost of capital (WACC), and comparable company analysis
• Proficiency in Python, including reading, writing, and debugging scripts for financial calculations
• 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 effectively
• 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/machine learning evaluation workflows or data annotation projects
• Experience writing or reviewing technical rubrics or assessment criteria

Compensation & Benefits

• Hourly contract position
• Pay range: $80–$110 per hour
• Flexible schedule and fully remote work
• Opportunity to contribute to innovative AI projects in finance
• Potential for ongoing work and contract extensions

Location

• Remote (work from any location)
• Candidates must have strong US-based financial knowledge and fluency with American financial terminology and conventions