RL Environment Builder — Experienced QuickBooks User

RL Environment Builder — Experienced QuickBooks User; United States; Remote; USD 60,000 - 90,000; Full time

Job summary

RL Environment Builder is seeking a seasoned QuickBooks practitioner to translate real-world accounting and sales workflows into reinforcement learning environments.

You will document workflows, explain how revenue reporting and accounting tasks are completed in QuickBooks, and help create realistic tasks based on day-to-day operations. This remote, 20+ hour per week role offers flexibility to contribute to AI training data and RL environment development.

Qualifications

• Professional experience in accounting, finance, or sales operations.
• Hands-on, current experience using QuickBooks in day-to-day workflows.
• Experience with QuickBooks processes related to revenue reporting, data entry, reconciliations, and integrations.
• Currently employed by or with a company of 10–500 employees.
• Ability to discuss detailed financial processes and explain software usage in practice.
• Ability to document workflows and processes clearly.
• Minimum availability of 20+ hours per week.
• Ability to work independently in a remote environment.

Responsibilities

• Document real-world QuickBooks workflows and day-to-day data entry processes.
• Explain how revenue reporting and accounting tasks are completed in QuickBooks.
• Help create realistic tasks based on accounting and sales operations workflows.
• Describe common software limitations, pain points, bottlenecks, and practical workarounds.
• Explain how QuickBooks integrates with other financial and business tools.
• Contribute detailed specifications for tasks and workflows.
• Build and refine reinforcement learning environments based on provided requirements.
• Review and iterate on work based on project feedback.

Skills

QuickBooks

Accounting

Finance

Sales Operations

Revenue Operations

Workflow Documentation

Data Entry

Reconciliation

Integration

AI Training Data

Reinforcement Learning Environments

Job description

We are seeking a seasoned QuickBooks practitioner to join our team as an RL Environment Builder, helping us translate real-world accounting and sales operations into reinforcement learning environments. Your expertise will enable AI models to learn from realistic business workflows.

Key responsibilities

• Document real-world QuickBooks workflows and day-to-day data entry processes.

• Explain how revenue reporting and accounting tasks are completed in QuickBooks.

• Help create realistic tasks based on accounting and sales operations workflows.

• Describe common software limitations, pain points, bottlenecks, and practical workarounds.

• Explain how QuickBooks integrates with other financial and business tools.

• Contribute detailed specifications for tasks and workflows.

• Build and refine reinforcement learning environments based on provided requirements.

• Review and iterate on work based on project feedback.

Required qualifications

• Professional experience in accounting, finance, sales operations, or a closely related field.

• Hands-on, current experience using QuickBooks as part of day-to-day business workflows.

• Experience with QuickBooks processes relevant to revenue reporting, data entry, reconciliations, and integrations.

• Currently employed by, or working with, a company with approximately 10–500 employees.

• Ability to discuss detailed financial processes and explain how business software is used in practice.

• Ability to document workflows and processes clearly.

• Minimum availability of 20+ hours per week.

• Ability to work independently in a remote environment.

Nice to have

• Creating AI training data or evaluation tasks.

• AI response evaluation or annotation.

• Reinforcement learning environment development.

• Previous work with AI research or AI development teams.

Skills

• QuickBooks
• Accounting
• Finance
• Sales Operations
• Revenue Operations
• Workflow Documentation
• Data Entry
• Reconciliation
• Integration
• AI Training Data
• Reinforcement Learning Environments