Remote Financial AI Quality Analyst

CNTXT AI; New York (NY); Remote; USD 34,000 - 83,000; Part time

Job summary

CNTXT AI is seeking a remote, hourly contractor to evaluate AI-generated financial content and develop test cases that test analytical reasoning accuracy. You will help improve how AI models handle banking, insurance, accounting, and risk information with clear explanations and reliable analysis.

The role requires a bachelor’s degree in a finance-related field, at least one year of relevant experience, and strong written English. It offers flexible asynchronous work in a global context.

Qualifications

• Bachelor’s degree or higher in Finance, Accounting, Economics, Business, or closely related field.
• Minimum 1 year of full-time professional experience in banking, insurance, accounting, or risk management.
• Ability to explain complex financial concepts clearly and accurately in writing.
• Full professional English proficiency.
• Reliable and self-directed, with consistent output quality in a remote, asynchronous workflow.

Responsibilities

• Evaluate AI-generated financial content for factual accuracy and analytical soundness.
• Identify errors in financial methodology, misapplied regulations, and unsupported conclusions with source-backed corrections.
• Cross-reference data across balance sheets, reports, and operations to assess AI reasoning.
• Develop prompts and test cases for AI performance on financial operations and data analysis.
• Rate and compare AI responses based on correctness and prompt adherence.

Skills

English proficiency

Explain financial concepts in writing

Remote work discipline

Education

Bachelor’s degree or higher in Finance/Accounting/Economics/Business

Job description

CNTXT AI is seeking a remote, hourly contractor to evaluate AI-generated financial content and develop test cases that test analytical reasoning accuracy. You will help improve how AI models handle banking, insurance, accounting, and risk information with clear explanations and reliable analysis.

The role requires a bachelor’s degree in a finance-related field, at least one year of relevant experience, and strong written English. It offers flexible asynchronous work in a global context.