Financial Analyst for AI Model Training

Role Overview

Apply deep financial judgment to help develop foundational AI models. In this role, you will create and evaluate finance-focused training materials, assess model reasoning against structured standards, and partner with research and engineering teams to strengthen financial analysis and decision-making capabilities.

Key Responsibilities

• Help research and engineering teams address gaps in financial reasoning, analysis, and decision-making.
• Create challenging, practice-based finance tasks and accurate, well-reasoned solutions.
• Evaluate AI model outputs against structured rubrics and provide written feedback on correctness, judgment, and reasoning quality.
• Develop and refine finance-specific evaluation guidelines and scoring rubrics.
• Collaborate with other subject-matter experts to maintain consistent, accurate training data.

Qualifications

• At least 8 years of dedicated finance experience, such as investment banking, asset management, corporate finance, or financial advisory, gained at a recognized top-tier organization.
• Required hands-on experience evaluating LLM or AI model outputs using rubrics or structured scoring criteria. Describe this experience in your application.
• Demonstrated career progression, such as Analyst to Associate to VP or Director.
• Strong written and verbal communication, problem-solving, and interpersonal skills.

Work Terms

• United States-based, hourly W-2 employment.
• Commit reliably to at least 35 hours per week during weekdays.
• You may be assigned to an AI lab team through a staffing employer that manages payroll, benefits, and compliance.

Compensation

• $65 to $90 per hour.

Eligibility

Employment decisions are made without discrimination based on legally protected characteristics, including race, religion, color, national origin, sex, pregnancy or related conditions, sexual orientation, gender identity or expression, age, veteran status, disability, genetic information, or political views or activity.