Finance Professionals: Scenario Building for AI Environments

We're running a paid study on how financial data and workflows can be accurately modeled inside reinforcement learning environments. By building realistic accounting scenarios, we can better train artificial intelligence systems to handle complex financial decision-making. Your domain expertise will directly inform the structure and logic of these simulated worlds.

10 hours / week.

During this remote session, you will interact with our reinforcement learning platform tailored for financial workflows. You will be asked to map out common finance and accounting scenarios, detailing the variables, constraints, and potential outcomes. The platform will guide you through building these simulated worlds while you explain your logical choices. You will also provide feedback on the intuitive feel and accuracy of the modeling tools provided.

We are looking for experienced finance and accounting professionals with a strong grasp of complex financial modeling. We welcome certified public accountants, financial analysts, quantitative analysts, and corporate finance managers. A technical background or prior experience with artificial intelligence platforms is helpful but not strictly required.

• Interact with a reinforcement learning platform designed for the financial sector
• Map out realistic finance and accounting scenarios using platform tools
• Define variables, constraints, and logic for complex financial workflows
• Provide feedback on the accuracy and usability of the scenario builder

• Active professional in finance, accounting, or quantitative analysis
• Strong understanding of complex financial workflows and decision logic
• Comfortable interacting with new technical platforms and modeling tools
• Ability to clearly articulate accounting principles and scenario constraints

• You will be engaged as an independent contractor.
• This is a fully remote opportunity that can be completed on your own schedule.
• Opportunities can be extended, shortened, or concluded early depending on needs and performance.
• Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are processed weekly based on services rendered.
• We are unable to support H1-B or STEM OPT candidates at this time.