Overview

Have you ever wanted to shape the future of artificial intelligence while utilizing your high level financial expertise? Mercor is bridging the gap between top tier professionals and cutting edge AI research labs in San Francisco, backed by iconic investors like Benchmark, General Catalyst, Peter Thiel, and Jack Dorsey. We are currently looking for a talented FP&A and Treasury Analyst to join our network on a contract basis. This is a fully remote and worldwide opportunity paying an exceptional $80 to $120 per hour, allowing you to work from anywhere on earth while helping machines understand complex corporate finance.

Key Responsibilities

Your primary goal will be helping the next generation of AI models learn how to think about money. You will design realistic operating budgets, rolling forecasts, and dynamic formula driven financial models based on your professional experience. You will also review and rigorously test AI generated financial planning and treasury outputs, checking every assumption for accuracy and sound business judgment. By providing clear written feedback and collaborating asynchronously with our research team, you will directly improve data quality and enhance machine reasoning in financial contexts.

Requirements

To thrive in this role, you need a bachelor degree in Finance, Accounting, or a closely related field. You should bring solid corporate FP&A or treasury experience gained at a mid size or larger organization, alongside proven financial modeling skills and hands on cash management exposure. Exceptional written communication abilities are essential since your detailed feedback will be used to train AI systems. A curious mindset and a passion for technology will make you a great fit for our innovative team.

What You'll Gain

You will earn top tier compensation ranging from $80 to $120 per hour on a flexible contract schedule. Beyond the pay, you get the rare chance to stand at the intersection of finance and artificial intelligence, influencing how future models process economic data. You will work alongside brilliant researchers globally and enjoy total location independence.