Finance AI Evaluator & Training Specialist

Rise Data Labs; United States; On-site; USD 170,000 - 243,000; Full time

Job summary

Rise Data Labs is seeking experienced finance professionals for a short-term AI training and evaluation project in the United States. You will develop finance prompts grounded in real-world work, test AI outputs for accuracy, and design clear scoring rubrics.

Selected experts will receive onboarding and project-specific training with an immediate start and roughly two weeks of availability, with options for flexible hours to meet the needs of the assignment.

Qualifications

• Finance professionals with strong real-world finance expertise including investment banking, PE, asset management or related analytic fields.
• Ability to apply knowledge to develop finance prompts and evaluate AI-generated work with judgment.
• Attention to detail and strong analytical reasoning.

Responsibilities

• Develop sophisticated finance-related prompts and tasks grounded in real-world professional work.
• Test and evaluate AI-generated work for accuracy, reasoning, completeness, and professional quality.
• Develop clear evaluation rubrics and scoring criteria, identifying meaningful errors and gaps.
• Research and provide reliable supporting sources or reference materials as needed.
• Refine your work based on testing, feedback, and project guidelines.
• Specific methodologies, tools, and training will be provided to selected experts.

Skills

Investment Banking

Private Equity

Investment Research

Asset Management

Financial Modeling

Valuation

Corporate Finance

FP&A

Accounting

Job description

Rise Data Labs is seeking experienced finance professionals for a short-term AI training and evaluation project in the United States. You will develop finance prompts grounded in real-world work, test AI outputs for accuracy, and design clear scoring rubrics.

Selected experts will receive onboarding and project-specific training with an immediate start and roughly two weeks of availability, with options for flexible hours to meet the needs of the assignment.