Are you experienced in financial institutions and eager to shape the future of AI? Large-scale language models are evolving from simple conversational tools into systems capable of analyzing financial frameworks, interpreting regulatory structures, and supporting complex institutional decision-making. With high-quality training data, tomorrow’s AI can help strengthen financial literacy, improve risk analysis, and support professionals across banking and financial services. That training data begins with you—we need your expertise to help power the next generation of AI.
We’re looking for individuals with knowledge of banking systems, financial regulation, capital markets, retail and commercial banking, central banking, compliance, risk management, lending practices, financial products, and institutional governance. You’ll challenge advanced language models on topics such as balance sheet analysis, regulatory compliance frameworks, credit risk assessment, liquidity management, capital adequacy, anti-money laundering controls, financial reporting standards, and macroeconomic policy impacts—documenting failure modes so we can strengthen model reasoning and accuracy.
On a typical day, you will engage the model with financial institution scenarios, regulatory and compliance questions, and analytical exercises; verify factual correctness and institutional logic; assess risk-related reasoning; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation frameworks, and analytical depth. You may also help identify where models oversimplify financial regulations or misinterpret institutional processes.
A background in finance, economics, accounting, business administration, or a related field is preferred but not required. Experience working in banks, credit unions, regulatory bodies, financial consultancies, or related institutions is highly valued. Entry-level candidates with foundational knowledge of financial systems and strong analytical skills are encouraged to apply. Clear, metacognitive communication—explicitly articulating reasoning and decision processes (“showing your work”)—is essential.
Ready to turn your financial institutions expertise into the knowledge foundation for tomorrow’s AI? Apply today and help train systems that support finance professionals and institutions worldwide.
We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.
Job title: Financial Institutions Specialist – Freelance AI Trainer Project
Employment type: Freelance / Contract
Workplace type: Remote
Seniority level: Entry Level
Invisible Technologies makes AI work.
Our platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries — from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Invisible, profitable for over half a decade, reached $134m in revenue and ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.
