Corporate Finance Professional for AI Training

Apply corporate finance expertise to create realistic, high-quality materials that help train next-generation AI systems. This remote contract role centers on translating real-world budgeting, forecasting, close, and variance-analysis practice into rigorous evaluations and feedback.

Key Responsibilities
Design and write complex finance-manager evaluation tasks based on realistic budgeting, forecasting, and variance-analysis scenarios. Source, create, and curate supporting materials, including budget spreadsheets, forecast models, reconciliations, and technical documentation. Develop accurate solutions with clear, defensible financial reasoning. Create detailed grading rubrics with 35 or more criteria focused on numerical rigor, sound methodology, and narrative quality.

Ensure each task reflects the nuance of real corporate finance practice rather than simplified textbook examples. Communicate findings and reasoning clearly in writing and verbally as part of submission requirements. Qualifications
5 or more years of experience directly owning a P&L or a significant departmental budget in a corporate finance environment. Hands-on experience with month-end and quarter-end close, including reconciliations and variance analysis. Advanced financial modeling and financial management skills, with consistent numerical accuracy.

Ability to turn complex data into actionable financial insights and recommendations. Excellent written and verbal communication skills, including the ability to explain technical concepts to varied audiences. A corporate finance background is strongly preferred over a solely accounting-focused background. CPA, CFA, FMVA, or an MBA are valued but not required. Work Terms
Remote, independent-contractor engagement. Compensation is output-based and paid per task that meets project specifications. Completion time varies by experience and workflow, and minimum submission requirements apply.

A minimum number of tasks must be submitted each week. Roles are commonly filled within 48 hours. Selected candidates should be ready to begin their first tasks within 24 to 48 hours after completing the required setup process. Compensation
$50 to $100 per hour.