Remote FP&A Expert & AI Forecaster

Mercor; Charlotte (NC); Remote; USD 96,000 - 152,000; Part time

Job summary

Mercor is seeking an FP&A Expert for a remote contract role, offering $70–$110/hour. You will review and QA AI-agent rollouts in Financial Forecaster, assess forecasting results, and ensure accuracy against model outputs.

This position requires deep FP&A experience and the ability to read Financial Forecaster models. Responsibilities include identifying failure modes, refining prompts to improve realism, updating grading guidance, and catching plausible-but-wrong answers.

Qualifications

• Hands-on use of Financial Forecaster for forecasting, covenant, or reporting work.
• 5+ years in FP&A, financial reporting, technical accounting, or lender reporting.
• Ability to read a Financial Forecaster model on sight and identify inputs, calculations, and scenarios.
• Familiarity with Financial Forecaster's scenario and import mechanics.
• Good judgment to mark plausible answers as incorrect.

Responsibilities

• Review and QA AI-agent rollouts in Financial Forecaster; judge answers against the model and document.
• Identify failure modes where agents succeed too easily or fail wrongly; flag tasks requiring Financial Forecaster.
• Improve realism and difficulty by refining task prompts to reflect FP&A and lender-reporting work.
• Update grading guidance for accuracy; ensure correct answers pass and wrong ones fail.
• Catch plausible-but-wrong answers that a non-expert reviewer might miss and ensure consistency.

Skills

FP&A

Financial forecasting

Model interpretation

Attention to detail

Tools

Financial Forecaster

Job description

Mercor is seeking an FP&A Expert for a remote contract role, offering $70–$110/hour. You will review and QA AI-agent rollouts in Financial Forecaster, assess forecasting results, and ensure accuracy against model outputs.

This position requires deep FP&A experience and the ability to read Financial Forecaster models. Responsibilities include identifying failure modes, refining prompts to improve realism, updating grading guidance, and catching plausible-but-wrong answers.