AI Personal Finance Tutor (Full Time)

1. Role Overview

Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in personal finance. This full-time position offers the opportunity to shape next-generation AI systems by contributing high-quality data, insights, and evaluations in areas such as retail investing, budgeting, financial planning, and personal tax preparation. As an AI Personal Finance Data Specialist, you will apply your financial expertise to help train AI models that understand and reason effectively about real-world financial decisions.

You will collaborate closely with technical teams to refine data annotation tools, design efficient workflows, and select complex financial problems that improve model performance. This role requires precision, adaptability, and a strong passion for innovation in the rapidly evolving world of AI and finance.

2. Key Responsibilities

Use proprietary tools to label, annotate, and evaluate personal finance data

Provide expert input across scenarios involving investing, budgeting, and tax planning

Collaborate with research teams to train and refine AI systems for financial reasoning

Help design and improve annotation tools tailored for financial data

Interpret evolving task instructions accurately and deliver consistent, high-quality results

3. Ideal Qualifications

Professional experience in personal finance or related fields (e.g., retail investing, financial planning, personal tax preparation, or financial advisory roles)

Strong written and verbal English communication skills

Excellent analytical and organizational abilities

Ability to work independently and make sound judgments with limited information

Demonstrated interest in technology and AI applications in finance

4. Preferred Background

Relevant certification or training (e.g., CFP, CFA, Enrolled Agent, or similar personal finance/tax-related credential)

Experience mentoring or training others in financial planning, investing, or tax preparation

Familiarity with AI workflows, data annotation, or related technical environments

Comfortable recording short audio or video sessions for data collection

5. Work Environment

Based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-management skills

U.S.-based applicants must reside outside of Wyoming and Illinois

Typical hours: 9:00am–5:30pm PST during training, then aligned with your local timezone

Remote workers must use a personal computer that meets one of the following requirements: a Chromebook, a Mac running macOS 11 or newer, or a Windows PC running Windows 10 or newer

Reliable smartphone access is required

6. Compensation & Benefits

Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location

For international candidates, compensation ranges are available upon request

Access to medical benefits, subject to your country of residence

Supportive, high-impact environment focused on advancing AI and financial innovation

7. Application Process

Submit your resume

Complete a 20-minute introductory interview

Selected candidates will move on to a focused personal finance data evaluation exercise

Finalists will participate in a team discussion and review of their expertise

The full process typically concludes within one week

8. About Mercor

Mercor is based in San Francisco, CA and specializes in recruiting experts for top AI labs. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.