Finance Professionals: Scenario Building for AI Environments
This role is hiring through Terac, not NeonLabs. The description below is Terac’s own wording from their official listing, so "we" and "our" refer to Terac.
Overview
The Finance Professionals: Scenario Building for AI Environments role is a remote contract position. It suits experienced professionals who want flexible, project-based AI work reviewed on a rolling basis. You collaborate directly with client teams on real deliverables that help train and evaluate next-generation AI systems, with no long-term commitment required.
We are running a paid study on reinforcement learning environments tailored for the financial sector. We need experienced finance and accounting professionals to help construct realistic scenarios and workflows within our platform.
What We're Researching
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.
Time Expectations
10 hours / week.
How It Works
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.
Who This Is For
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.
What you will do
- 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
Who qualifies
- 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
Details
- Pay: $90/hr
- Format: Paid interview • Remote • flexible timing
- Open spots: 10
- Eligibility: United States
- Platform: Terac
Apply directly through Terac using the link below. Terac connects professionals to short, paid research studies, interviews, and surveys you can complete remotely.
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