Financial Institutions Specialist – Freelance AI Trainer Project
New
J
JobgetherFinance
IndiaContractEntry
Salary6 - 65 USD per hour
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Job Details
- Required Skills
- AccountingComplianceFinancial analysisRisk Management
Requirements
- Knowledge of financial institutions, banking systems, financial regulation, capital markets, retail or commercial banking, central banking, compliance, risk management, or lending.
- Background in finance, economics, accounting, business administration, or a related discipline is preferred.
- Professional experience in banks, credit unions, regulatory organizations, or financial consulting is highly valued.
- Strong understanding of financial concepts and ability to assess complex institutional and regulatory scenarios.
- Excellent written communication skills with the ability to explain analytical reasoning clearly.
- Strong attention to detail with the ability to identify subtle factual, logical, or regulatory inconsistencies.
- Comfortable working independently in a remote, project-based environment.
- Ability to adapt to evolving AI evaluation tasks.
Responsibilities
- Challenge advanced AI models using scenarios covering banking systems, financial regulation, capital markets, lending, compliance, risk management, and institutional governance.
- Evaluate model responses for factual accuracy, financial logic, regulatory interpretation, and consistency with real-world institutional practices.
- Assess AI reasoning across areas such as balance sheet analysis, credit risk, liquidity management, capital adequacy, AML controls, financial reporting, and macroeconomic policy.
- Identify and document model failure modes, errors, oversimplifications, and misunderstandings of financial regulations or institutional processes.
- Produce clear, reproducible error traces and structured feedback to support improvements in prompts, evaluation frameworks, and model performance.
- Apply strong analytical judgment to determine whether AI-generated conclusions are financially sound.
- Articulate reasoning and decision-making processes to improve the reliability of AI-generated financial analysis.
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