Controller

Aston Carter•New York, NY

13d•$125 - $125•Remote

About The Position

This is a 100% remote, 12-week consulting engagement (with potential for extension) for a seasoned accounting or finance professional to help shape the future of AI in accounting and finance. The role involves training and improving cutting-edge AI models used by finance professionals worldwide. It offers a flexible, fully remote consulting environment where your real-world expertise can directly influence how the next generation of AI understands and solves complex accounting and finance challenges. This opportunity is ideal for professionals looking for work beyond traditional accounting tasks and who want to apply their knowledge in an innovative way, gaining exposure to emerging AI and Large Language Model (LLM) technology.

Requirements

7+ years of progressive accounting or finance experience.
Bachelor's degree in Accounting, Finance, or a related discipline.
Strong understanding of financial reporting and controllership functions.
Experience with technical accounting topics, including revenue recognition and lease accounting.
Knowledge of internal controls and SOX compliance.
Exposure to treasury functions and month-end close processes.
Excellent written communication and analytical skills.
Ability to work independently in a fully remote environment.
Basic familiarity with AI, ChatGPT, Copilot, or other LLM tools.
Availability for 30-40 hours per week throughout the engagement.

Responsibilities

Review accounting and finance scenarios and evaluate AI-generated responses for accuracy, completeness, and professional relevance.
Assess financial reporting, audit, tax, treasury, and technical accounting content against industry standards and best practices.
Provide expert feedback to improve the quality, consistency, and reliability of AI-generated outputs.
Develop realistic accounting and finance case studies based on real-world business situations.
Create clear explanations of accounting principles, technical accounting guidance, and practical applications.
Identify errors, inconsistencies, and gaps in AI-generated analysis and recommend improvements.
Evaluate AI reasoning and decision-making in accounting and financial contexts.
Collaborate with project teams to enhance evaluation standards and quality guidelines.
Manage priorities independently while maintaining high-quality deliverables and meeting project timelines.
Test and review outputs generated by AI and Large Language Model (LLM) technologies.